Publications: Yann LeCun

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  • Affiliation: Chief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York University
  • Google Scholar ID: WLN3QrAAAAAJ
  • Total Publications: 476

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Title Year Citations Score
Deep learning
nature 521 (7553), 436-444, 2015
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2015 75561 100.0%
Gradient-based learning applied to document recognition
Proceedings of the IEEE 86 (11), 2278-2324, 1998
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1998 62466 100.0%
Backpropagation applied to handwritten zip code recognition
Neural computation 1 (4), 541-551, 1989
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1989 16089 100.0%
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
International Conference on Learning Representations (ICLR 2014), 2014
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2014 7431 99.9%
Convolutional networks for images, speech, and time series
The handbook of brain theory and neural networks 3361 (10), 1995, 1995
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1995 7811 99.9%
Character-level convolutional networks for text classification
Advances in neural information processing systems 28, 2015
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2015 6300 99.9%
Spectral Networks and Locally Connected Networks on Graphs
International Conference on Learning Representations (ICLR 2014), 2014
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2014 5664 99.9%
Dimensionality reduction by learning an invariant mapping
Computer vision and pattern recognition 2006. CVPR 2006. IEEE computer …, 2006
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2006 5637 99.8%
MNIST handwritten digit database
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2010 5216 99.8%
Barlow twins: Self-supervised learning via redundancy reduction
International Conference on Machine Learning (ICML) 139, 12310-12320, 2021
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2021 1793 99.8%
Efficient backprop
Neural networks: Tricks of the trade, 9-50, 2002
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2002 6982 99.8%
Learning a similarity metric discriminatively, with application to face verification
2005 IEEE computer society conference on computer vision and pattern …, 2005
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2005 5036 99.8%
The MNIST database of handwritten digits
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1998 7211 99.8%
Geometric deep learning: going beyond euclidean data
IEEE Signal Processing Magazine 34 (4), 18-42, 2017
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2017 3603 99.8%
Handwritten digit recognition with a back-propagation network
Advances in neural information processing systems 2, NIPS 1989, 396-404, 1990
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1990 6145 99.8%
Optimal Brain Damage
Advances in neural information processing systems 2, NIPS 1989 2, 598-605, 1990
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1990 5702 99.7%
Learning Hierarchical Features for Scene Labeling
IEEE Transactions on Pattern Analysis and Machine Intelligence 8 (35), 1915-1929, 2013
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2013 3433 99.7%
A Closer Look at Spatiotemporal Convolutions for Action Recognition
computer vision and pattern recognition conference (CVPR 2018), 2017
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2017 3074 99.7%
Regularization of neural networks using dropconnect
30th International Conference on Machine Learning (ICML 2013), 1058-1066, 2013
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2013 3167 99.7%
VICReg: Variance-invariance-covariance regularization for self-supervised learning
International Conference on Learning Representations (ICLR 22), 2022
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2022 725 99.7%
Signature verification using a" siamese" time delay neural network
Advances in neural information processing systems 6, 1993
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1993 4708 99.7%
What is the best multi-stage architecture for object recognition?
Computer Vision, 2009. ICCV 2009. IEEE 12th International Conference on …, 2009
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2009 2913 99.5%
Convolutional networks and applications in vision
Proceedings of 2010 IEEE international symposium on circuits and systems …, 2010
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2010 2875 99.5%
Deep multi-scale video prediction beyond mean square error
international Conference on Learning Representations (ICLR 2016), 2015
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2015 2179 99.4%
Exploiting linear structure within convolutional networks for efficient evaluation
Advances in neural information processing systems 27, 2014
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2014 1966 99.4%
Joint training of a convolutional network and a graphical model for human pose estimation
Advances in neural information processing systems, 1799-1807, 2014
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2014 1879 99.3%
Deep convolutional networks on graph-structured data
arXiv preprint arXiv:1506.05163, 2015
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2015 1898 99.3%
Very deep convolutional networks for natural language processing
arXiv preprint arXiv:1606.01781 2 (1), 2016
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2016 1606 99.3%
Mdetr-modulated detection for end-to-end multi-modal understanding
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
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2021 591 99.3%
Efficient object localization using convolutional networks
computer Vision and Pattern Recognition (CVPR 2015), 2014
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2014 1707 99.3%
Energy-based generative adversarial network
international Conference on Learning Representations (ICLR 2017), 2016
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2016 1516 99.2%
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
Journal of Machine Learning Research 17, 1-32, 2016
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2016 1500 99.2%
The Loss Surface of Multilayer Networks
AI & Statistics (AIStats 2015), 2015
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2015 1515 99.2%
Augmented language models: a survey
arXiv preprint arXiv:2302.07842, 2023
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2023 229 99.1%
Learning fast approximations of sparse coding
Machine Learning (ICML), 2010, International Conference on, 1-8, 2010
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2010 1866 99.1%
Deep learning for AI
Communications of the ACM 64 (7), 58-65, 2021
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2021 507 99.1%
Efficient learning of sparse representations with an energy-based model
Advances in neural information processing systems 19, NIPS 2006 19, 1137-1144, 2006
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2006 1851 99.0%
Scaling learning algorithms towards AI
Large-scale kernel machines 34 (5), 1-41, 2007
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2007 1881 99.0%
A theoretical analysis of feature pooling in visual recognition
Machine Learning (ICML), 2010, International Conference on, 2010
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2010 1738 99.0%
Deep learning made easier by linear transformations in perceptrons
International Conference on AI and Statistics (AISTAT'12), 2012
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2012 1458 98.9%
Pushing stochastic gradient towards second-order methods–backpropagation learning with transformations in nonlinearities
Neural Information Processing: 20th International Conference, ICONIP 2013 …, 2013
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2013 1255 98.9%
Generalization and network design strategies
Connectionism in perspective 19 (143-155), 18, 1989
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1989 1667 98.9%
LeNet-5, convolutional neural networks
URL: http://yann. lecun. com/exdb/lenet 20 (5), 14, 2015
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2015 1085 98.8%
Comparison of Learning Algorithms for Handwritten Digit Recognition
International Conference on Artificial Neural Networks, 53-60, 1995
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1995 1697 98.8%
Unsupervised learning of invariant feature hierarchies with applications to object recognition
Computer Vision and Pattern Recognition, 2007. CVPR 2007. IEEE Conference on …, 2007
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2007 1549 98.8%
Learning methods for generic object recognition with invariance to pose and lighting
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004
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2004 1845 98.7%
Learning mid-level features for recognition
Computer Vision and Pattern Recognition 2010. CVPR 2010. IEEE Conference on …, 2010
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2010 1447 98.7%
A tutorial on energy-based learning
Predicting Structured Data, 2006
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2006 1449 98.6%
Pedestrian detection with unsupervised multi-stage feature learning
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2013), 3626 …, 2013
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2013 1094 98.6%
Real-time continuous pose recovery of human hands using convolutional networks
ACM Transactions on Graphics (ToG) 33 (5), 1-10, 2014
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2014 938 98.5%
Object recognition with gradient-based learning
Shape, contour and grouping in computer vision, 319-345, 1999
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1999 1575 98.4%
Computing the stereo matching cost with a convolutional neural network
Computer Vision and Pattern Recognition (CVPR 2015), 2014
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2014 892 98.3%
The role of over-parametrization in generalization of neural networks
international conference on learning representations (ICLR 2019), 2019
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2019 552 98.3%
Sparse feature learning for deep belief networks
Advances in neural information processing systems, 1185-1192, 2008
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2008 1147 98.2%
A cookbook of self-supervised learning
arXiv preprint arXiv:2304.12210, 2023
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2023 123 98.1%
Text understanding from scratch
arXiv preprint arXiv:1502.01710, 2015
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2015 756 98.1%
Traffic sign recognition with multi-scale convolutional networks
The 2011 international joint conference on neural networks, 2809-2813, 2011
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2011 1001 98.0%
Entropy-sgd: Biasing gradient descent into wide valleys
international Conference on Learning Representations (ICLR 2017), 2016
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2016 739 98.0%
Fast Training of Convolutional Networks through FFTs
International Conference on Learning Representations (ICLR 2014), 2014
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2014 755 97.9%
Deep learning with elastic averaging SGD
Advances in neural information processing systems 28, 2015
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2015 708 97.9%
MNIST handwritten digit database. 2010
URL http://yann. lecun. com/exdb/mnist 7 (23), 6, 2010
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2010 960 97.8%
Understanding dimensional collapse in contrastive self-supervised learning
arXiv preprint arXiv:2110.09348, 2021
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2021 244 97.6%
A theoretical framework for back-propagation
Proceedings of the 1988 Connectionist Models Summer School, 21-28, 1988
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1988 1012 97.6%
Convolutional learning of spatio-temporal features
Computer Vision ( ECCV), 2010, European Conference on, 140-153, 2010
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2010 882 97.5%
Comparison of classifier methods: a case study in handwritten digit recognition
Proceedings of the 12th IAPR International Conference on Pattern Recognition …, 1994
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1994 1048 97.5%
Convolutional neural networks applied to house numbers digit classification
Proceedings of the 21st international conference on pattern recognition …, 2012
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2012 731 97.4%
Deep learning, reinforcement learning, and world models
Neural Networks 152, 267-275, 2022
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2022 145 97.4%
Decoupled contrastive learning
European Conference on Computer Vision, 668-684, 2022
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2022 138 97.2%
Disentangling factors of variation in deep representation using adversarial training
Advances in neural information processing systems 29, 2016
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2016 545 97.1%
Learning convolutional feature hierarchies for visual recognition
Advances in Neural Information Processing Systems 23, NIPS 2010 23, 2010
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2010 741 96.9%
Handwritten digit recognition: Applications of neural network chips and automatic learning
Communications Magazine, IEEE 27 (11), 41-46, 1989
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1989 737 96.8%
Learning algorithms for classification: A comparison on handwritten digit recognition
Neural networks: the statistical mechanics perspective 261 (276), 2, 1995
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1995 797 96.7%
Indoor Semantic Segmentation using depth information
International Conference on Learning Representations (ICLR2013), 2013
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2013 565 96.6%
Catalyzing next-generation artificial intelligence through neuroai
Nature communications 14 (1), 1597, 2023
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2023 74 96.6%
A path towards autonomous machine intelligence version 0.9. 2, 2022-06-27
Open Review 62 (1), 2022
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2022 114 96.5%
Off-road obstacle avoidance through end-to-end learning
Advances in neural information processing systems 18, NIPS 2005 18, 739, 2006
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2006 723 96.5%
Efficient pattern recognition using a new transformation distance
Advances in Neural Information Processing Systems 5, NIPS 1992, 50-58, 1992
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1992 745 96.2%
No more pesky learning rates
International Conference on Machine Learning 2013 (ICML'13) and arXiv:1206.1106, 2012
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2012 547 96.2%
Self-supervised learning from images with a joint-embedding predictive architecture
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
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2023 65 96.0%
Une procédure d'apprentissage pour réseau à seuil asymétrique (A learning scheme for asymmetric threshold networks)
Proceedings of Cognitiva 85, 599-604, 1985
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1985 655 95.8%
3rd International Conference on Learning Representations
ICLR, San Diego, 2015
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2015 423 95.8%
Measuring the VC-dimension of a learning machine
Neural computation 6 (5), 851-876, 1994
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1994 659 95.6%
Adversarially Regularized Autoencoders for Generating Discrete Structures
International Conference on Machine Learning (ICML 2018), 2018
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2018 332 95.5%
NeuFlow: A Runtime Reconfigurable Dataflow Processor for Vision
Embedded Computer Vision Workshop at ICCV, 2011
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2011 514 95.4%
Improving the convergence of back-propagation learning with second order methods
Proceedings of the 1988 connectionist models summer school, 29-37, 1988
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1988 596 95.4%
Super-Resolution with Deep Convolutional Sufficient Statistics
International Conference on Learning Representations (ICLR 2016), 2015
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2015 389 95.3%
Fast Convolutional Nets With fbfft: A GPU Performance Evaluation
International Conference on Learning Representations (ICLR 2015), 2014
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2014 394 95.1%
Contrastive and non-contrastive self-supervised learning recover global and local spectral embedding methods
Advances in Neural Information Processing Systems 35, 26671-26685, 2022
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2022 84 94.9%
Modèles connexionnistes de l’apprentissage
These de Doctorat, Universite Paris 6, 1987
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1987 488 94.8%
Cnp: An fpga-based processor for convolutional networks
2009 International Conference on Field Programmable Logic and Applications …, 2009
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2009 500 94.8%
Neural networks: Tricks of the trade
Springer Lecture Notes in Computer Sciences 1524 (5-50), 6, 1998
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1998 609 94.8%
Stacked what-where auto-encoders
arXiv preprint arXiv:1506.02351, 2015
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2015 354 94.7%
Classification of patterns of EEG synchronization for seizure prediction
Clinical neurophysiology 120 (11), 1927-1940, 2009
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2009 492 94.7%
Synergistic face detection and pose estimation with energy-based model
In Advances in Neural Information Processing Systems 17 (NIPS 2004) 17, 2005
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2005 523 94.3%
Large-scale learning with svm and convolutional nets for generic object categorization
Computer Vision and Pattern Recognition, 2006 IEEE Computer Society …, 2006
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2006 495 94.2%
Large Scale Online Learning.
Advances in Neural Information Processing Systems (NIPS 2003) 16, 2003
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2003 586 94.2%
Predicting Deeper into the Future of Semantic Segmentation
International Conference on Computer Vision (ICCV 2017), 2017
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2017 286 94.2%
Learning invariant features through topographic filter maps
Computer Vision and Pattern Recognition 2009. CVPR 2009. IEEE Conference on …, 2009
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2009 455 94.1%
Transformation invariance in pattern recognition—tangent distance and tangent propagation
Neural networks: tricks of the trade, 239-274, 2002
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2002 581 94.0%
Learning long‐range vision for autonomous off‐road driving
Journal of Field Robotics 26 (2), 120-144, 2009
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2009 448 94.0%
Boosting and other ensemble methods
Neural computation 6 (6), 1289-1301, 1994
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1994 511 93.9%
Tracking the World State with Recurrent Entity Networks
international Conference on Learning Representations (ICLR 2017), 2016
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2016 282 93.7%
Original approach for the localisation of objects in images
Vision, Image and Signal Processing, IEE Proceedings- 141 (4), 245-250, 1994
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1994 472 93.5%
Coarse-to-fine vision-language pre-training with fusion in the backbone
Advances in neural information processing systems 35, 32942-32956, 2022
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2022 69 93.5%
Vicregl: Self-supervised learning of local visual features
Advances in Neural Information Processing Systems 35, 8799-8810, 2022
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2022 68 93.3%
Very deep multilingual convolutional neural networks for LVCSR
2016 IEEE international conference on acoustics, speech and signal …, 2016
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2016 267 93.3%
Learning process in an asymmetric threshold network
Disordered systems and biological organization, 233-240, 1986
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1986 413 93.2%
Ask the locals: multi-way local pooling for image recognition
International Conference on Computer Vision (ICCV'11), 2011
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2011 372 93.2%
The effects of regularization and data augmentation are class dependent
Advances in Neural Information Processing Systems 35, 37878-37891, 2022
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2022 66 93.1%
Hardware accelerated convolutional neural networks for synthetic vision systems
Proceedings of 2010 IEEE International Symposium on Circuits and Systems …, 2010
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2010 385 92.8%
Road scene segmentation from a single image
Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012
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2012 313 92.3%
Toward automatic phenotyping of developing embryos from videos
IEEE Transactions on Image Processing 14 (9), 1360-1371, 2005
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2005 406 92.2%
Tangent prop-a formalism for specifying selected invariances in an adaptive network
Advances in neural information processing systems 4, NIPS 1991 4, 895-895, 1992
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1992 374 91.9%
The mind of a mouse
Cell 182 (6), 1372-1376, 2020
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2020 133 91.9%
Deep Learning Hardware: Past, Present, and Future
2019 IEEE International Solid-State Circuits Conference-(ISSCC), 12-19, 2019
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2019 154 91.7%
Learning in high dimension always amounts to extrapolation
arXiv preprint arXiv:2110.09485, 2021
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2021 90 91.6%
Transforming neural-net output levels to probability distributions
Advances in Neural Information Processing Systems 3, NIPS 1990 3, 853-859, 1991
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1991 352 91.6%
Self-supervised Learning: The Dark Matter of Intelligence
https://ai.facebook.com/blog/self-supervised-learning-the-dark-matter-of …, 2021
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2021 89 91.5%
High quality document image compression with DjVu
Journal of Electronic Imaging 7 (3), 410-426, 1998
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1998 381 91.2%
On the duality between contrastive and non-contrastive self-supervised learning
arXiv preprint arXiv:2206.02574, 2022
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2022 52 90.9%
Improving generalization performance using double backpropagation
Neural Networks, IEEE Transactions on 3 (6), 991-997, 1992
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1992 330 90.7%
Tunable efficient unitary neural networks (EUNN) and their application to RNNs
International Conference on Machine Learning (ICML 2017), 2016
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2016 202 90.7%
Advances in neural information processing systems
San Francisco, CA, USA: Morgan Kaufmann Publishers Inc, 396-404, 1990
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1990 309 90.7%
Handwritten zip code recognition with multilayer networks
Pattern Recognition, 1990. Proceedings., 10th International Conference on 2 …, 1990
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1990 306 90.6%
Fast inference in sparse coding algorithms with applications to object recognition
arXiv preprint arXiv:1010.3467, 2010
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2010 297 90.4%
Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers
International Conference on Machine Learning (ICML'12) and arXiv:1202.2160, 2012
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2012 260 90.4%
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic
International Conference on Learning Representations (ICLR 2019), 2019
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2019 134 90.3%
OverFeat: Integrated Recognition
Localization and Detection using Convolutional Networks 17, 2013
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2013 240 90.2%
Predictive network modeling of the high-resolution dynamic plant transcriptome in response to nitrate
Genome biology 11, 1-19, 2010
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2010 286 90.0%
Modeep: A deep learning framework using motion features for human pose estimation
Asian Conference on Computer Vision (ACCV), 2014
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2014 216 89.8%
Toward next-generation artificial intelligence: Catalyzing the neuroai revolution
arXiv preprint arXiv:2210.08340, 2022
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2022 45 89.2%
Orthogonal RNNs and Long-Memory Tasks
international Conference on Machine Learning (ICML 2016), 2016
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2016 175 89.1%
Design of a neural network character recognizer for a touch terminal
Pattern Recognition 24 (2), 105-119, 1991
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1991 265 88.5%
Quand la machine apprend: la révolution des neurones artificiels et de l'apprentissage profond
Odile Jacob, 2019
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2019 116 88.5%
The need for open source software in machine learning
JMLR 8, 2443-2466, 2007
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2007 264 88.1%
Moving beyond feature design: Deep architectures and automatic feature learning in music informatics.
ISMIR, 403-408, 2012
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2012 210 87.8%
GJ n
Hinton," Deep learning 521 (7553), 436-444, 2015
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2015 173 87.7%
Multi-digit recognition using a space displacement neural network
Advances in Neural Information Processing Systems (NIPS 1992) 4, 488-488, 1993
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1993 241 87.7%
An analog neural network processor with programmable topology
Solid-State Circuits, IEEE Journal of 26 (12), 2017-2025, 1991
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1991 243 87.7%
Learning invariant feature hierarchies
Computer Vision–ECCV 2012. Workshops and Demonstrations: Florence, Italy …, 2012
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2012 207 87.6%
Unsupervised learning of spatiotemporally coherent metrics
Proceedings of the IEEE international conference on computer vision, 4086-4093, 2015
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2015 171 87.5%
LeRec: A NN/HMM hybrid for on-line handwriting recognition
Neural Computation 7 (6), 1289-1303, 1995
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1995 242 87.2%
Understanding Deep Architectures using a Recursive Convolutional Network
International Conference on Learning Representations (ICLR 2014), 2014
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2014 170 86.7%
Comparing SVM and convolutional networks for epileptic seizure prediction from intracranial EEG
2008 IEEE workshop on machine learning for signal processing, 244-249, 2008
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2008 226 86.6%
A learning scheme for asymmetric threshold networks
Proceedings of COGNITIVA 85 (537), 599-604, 1985
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1985 202 86.2%
Eigenvalues of covariance matrices: Application to neural-network learning
Physical Review Letters 66 (18), 2396, 1991
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1991 215 86.1%
A generalization of vit/mlp-mixer to graphs
International Conference on Machine Learning, 12724-12745, 2023
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2023 21 86.1%
Comparing Dynamics: Deep Neural Networks versus Glassy Systems
International Conference on Machine Learning (ICML 2018), 2018
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2018 118 85.9%
Application of the ANNA neural network chip to high-speed character recognition
IEEE Transactions on Neural Networks 3 (3), 498-505, 1992
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1992 207 85.5%
Feature learning and deep architectures: New directions for music informatics
Journal of Intelligent Information Systems 41, 461-481, 2013
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2013 169 85.5%
Neural manifold clustering and embedding
arXiv preprint arXiv:2201.10000, 2022
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2022 34 85.2%
Convolutional networks for images, speech, and time series. The handbook of brain theory and neural networks
MIT Press 3361 (10), 1995, 1995
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1995 207 85.1%
Design: Design inspiration from generative networks
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
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2018 111 85.0%
Learning to linearize under uncertainty
Advances in neural information processing systems 28, 2015
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2015 141 84.6%
Rankme: Assessing the downstream performance of pretrained self-supervised representations by their rank
International Conference on Machine Learning, 10929-10974, 2023
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2023 19 84.6%
UNSUPERVISED LEARNING OF SPARSE FEATURES FOR SCALABLE AUDIO CLASSIFICATION
International Symposium on Music Information Retrieval, 2011
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2011 175 84.1%
To Compress or Not to Compress--Self-Supervised Learning and Information Theory: A Review
arXiv preprint arXiv:2304.09355, 2023
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2023 18 83.7%
Transformation invariance in pattern recognition: Tangent distance and propagation
International Journal of Imaging Systems and Technology 11 (3), 181-197, 2000
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2000 231 83.6%
Globally trained handwritten word recognizer using spatial representation, convolutional neural networks, and hidden Markov models
Advances in neural information processing systems 6, 1993
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1993 176 83.5%
Open problem: The landscape of the loss surfaces of multilayer networks
Conference on Learning Theory, 1756-1760, 2015
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2015 130 83.3%
Boxlets: a fast convolution algorithm for signal processing and neural networks
Advances in Neural Information Processing Systems (NIPS 1999) 12, 571-577, 1999
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1999 209 83.0%
On‐line learning for very large data sets
Applied Stochastic Models in Business and Industry 21 (2), 137-151, 2005
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2005 199 83.0%
Second order properties of error surfaces: Learning time and generalization
Advances in neural information processing systems 3, 1990
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1990 169 82.9%
Deep learning tutorial
Tutorials in international conference on machine learning (ICML’13), 1-29, 2013
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2013 143 82.8%
Predicting Future Instance Segmentations by Forecasting Convolutional Features
European Conference on Computer Vision (ECCV 2018), 2018
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2018 96 82.7%
Loss functions for discriminative training of energy-based models
International workshop on artificial intelligence and statistics, 206-213, 2005
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2005 191 82.4%
MNIST handwritten digit database. AT&T Labs (2010)
Volume 2Available online: http://yann. lecun. com/exdb/mnist (accessed on 4 …, 2020
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2020 65 82.3%
Runtime reconfigurable dataflow processor with multi-port memory access module
US Patent 10,078,620, 2018
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2018 93 82.2%
Automatic learning rate maximization by on-line estimation of the Hessian’s eigenvectors
Advances in neural information processing systems 5, NIPS 1992 5, 156-163, 1993
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1993 159 82.1%
A unified energy-based framework for unsupervised learning
Artificial Intelligence and Statistics, 371-379, 2007
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2007 175 81.9%
The ssl interplay: Augmentations, inductive bias, and generalization
International Conference on Machine Learning, 3252-3298, 2023
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2023 16 81.7%
The mnist database of handwritten digits
R, 1998
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1998 177 81.2%
Unsupervised image matching and object discovery as optimization
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
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2019 72 81.1%
Statistical machine learning and dissolved gas analysis: a review
IEEE Transactions on Power Delivery 27 (4), 1791-1799, 2012
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2012 137 80.9%
A Mathematical Motivation for Complex-Valued Convolutional Networks
Neural computation 28 (5), 815-825, 2016
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2016 102 80.6%
NeuFlow: Dataflow vision processing system-on-a-chip
2012 IEEE 55th International Midwest Symposium on Circuits and Systems …, 2012
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2012 134 80.5%
Large-scale FPGA-based convolutional networks
Scaling up machine learning: parallel and distributed approaches 13 (3), 399-419, 2011
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2011 140 80.3%
Hierarchical constrained automatic learning neural network for character recognition
US Patent 5,067,164, 1991
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1991 138 79.9%
Signal Recovery from Lp Pooling Representations
International Conference on Machine Learning (ICML 2014), 2014
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2014 113 79.7%
Method for sending multi-media messages using emoticons
US Patent 6,990,452, 2006
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2006 156 79.5%
Automatic recognition of biological particles in microscopic images
Pattern recognition letters 28 (1), 31-39, 2007
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2007 151 79.3%
Masked siamese convnets
arXiv preprint arXiv:2206.07700, 2022
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2022 24 78.8%
Image and video coding-emerging standards and beyond
IEEE Transactions on Circuits and Systems for Video Technology 8 (7), 814-837, 1998
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1998 150 78.2%
Global training of document processing systems using graph transformer networks
Computer Vision and Pattern Recognition, 1997. CVPR 1997. Proceedings., IEEE …, 1997
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1997 141 77.6%
Deep belief net learning in a long-range vision system for autonomous off-road driving
2008 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2008
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2008 129 76.8%
Reading checks with multilayer graph transformer networks
Acoustics, Speech, and Signal Processing, 1997. ICASSP 1997. IEEE …, 1997
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1997 130 76.0%
Adversarially regularized autoencoders for generating discrete structures
arXiv preprint arXiv:1706.04223 2, 12, 2017
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2017 74 75.5%
Glomo: Unsupervised learning of transferable relational graphs
Advances in Neural Information Processing Systems 31, 2018
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2018 66 75.4%
A theoretical analysis of feature pooling in vision algorithms
Proc. International Conference on Machine learning (ICML’10) 28, 3, 2010
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2010 116 75.3%
Which encoding is the best for text classification in chinese, english, japanese and korean?
arXiv preprint arXiv:1708.02657, 2017
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2017 73 75.2%
Pre-train your loss: Easy bayesian transfer learning with informative priors
Advances in Neural Information Processing Systems 35, 27706-27715, 2022
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2022 20 74.9%
The MNIST database of handwritten digits (2010)
URL http://yann. lecun. com/exdb/mnist, 2009
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2009 114 74.8%
System and method for biometric authentication in connection with camera equipped devices
US Patent App. 14/019,512, 2014
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2014 88 74.3%
Discriminative Recurrent Sparse Auto-Encoders
international conference on learning representations (ICLR2013), 2013
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2013 90 73.5%
Method for sending multi-media messages using customizable background images
US Patent 7,035,803, 2006
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2006 113 73.4%
Word-level training of a handwritten word recognizer based on convolutional neural networks
Pattern Recognition, 1994. Vol. 2-Conference B: Computer Vision & Image …, 1994
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1994 104 73.3%
Comparing different neural network architectures for classifying handwritten digits
Neural Networks, 1989. IJCNN., International Joint Conference on, 127-132 vol. 2, 1989
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1989 91 72.9%
Efficient learning and second order methods
Tutorial presented at Neural Information Processing Systems 5, 1993
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1993 92 72.4%
3rd International Conference on Learning Representations
ICLR, San Diego, 2015
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2015 76 72.3%
On the applications of multimedia processing to communications
Proceedings of the IEEE 86 (5), 755-824, 1998
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1998 107 72.2%
Shape, contour and grouping in computer vision
Lecture Notes in Computer Science 1681, 319-345, 1999
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1999 110 72.1%
Implicit Rank-Minimizing Autoencoder
Neural Information Processing Systems (NeurIPS 2020), 2020
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2020 40 72.1%
Self-supervised learning of Split Invariant Equivariant representations
arXiv preprint arXiv:2302.10283, 2023
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2023 10 71.4%
An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization
arXiv preprint arXiv:2303.00633, 2023
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2023 10 71.4%
PhD thesis: Modeles connexionnistes de l'apprentissage (connectionist learning models)
Universite P. et M. Curie (Paris 6), 1987
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1987 80 71.2%
The Power and Limits of Deep Learning: In his IRI Medal address, Yann LeCun maps the development of machine learning techniques and suggests what the future may hold.
Research-Technology Management 61 (6), 22-27, 2018
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2018 53 70.2%
Emergence of complex-like cells in a temporal product network with local receptive fields
arXiv preprint arXiv:1006.0448, 2010
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2010 91 70.2%
Comparison between frame-constrained fix-pixel-value and frame-free spiking-dynamic-pixel convnets for visual processing
Frontiers in neuroscience 6, 32, 2012
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2012 83 70.2%
Convolutional networks for images
Speech, and Time-Series, 1995
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1995 87 70.0%
Double backpropagation increasing generalization performance
IJCNN-91-Seattle International Joint Conference on Neural Networks 2, 145-150, 1991
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1991 80 69.9%
3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings
arXiv preprint arXiv:1412.6980, 2015
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2015 67 69.2%
Deep learning & convolutional networks.
Hot Chips Symposium, 1-95, 2015
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2015 67 69.2%
DjVu: Analyzing and compressing scanned documents for internet distribution
Proceedings of the Fifth International Conference on Document Analysis and …, 1999
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1999 92 68.5%
Method and apparatus for extracting a foreground image and a background image from a color document image
US Patent 5,900,953, 1999
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1999 92 68.5%
Singularity of the hessian in deep learning
arXiv preprint arXiv:1611.07476 54, 2016
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2016 59 68.2%
Connectionism in perspective
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1989 72 68.1%
The handbook of brain theory and neural networks. chapter Convolutional Networks for Images, Speech, and Time Series
MIT Press, Cambridge, MA, USA 3, 255-258, 1998
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1998 87 68.0%
Regularized estimation of image statistics by score matching
Advances in neural information processing systems 23, 2010
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2010 82 67.8%
Reading handwritten digits: A ZIP code recognition system
Computer 25 (7), 59-63, 1992
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1992 74 67.7%
Semantic road segmentation via multi-scale ensembles of learned features
Computer Vision–ECCV 2012. Workshops and Demonstrations: Florence, Italy …, 2012
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2012 75 67.7%
An fpga-based stream processor for embedded real-time vision with convolutional networks
2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009
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2009 82 67.5%
Constrained neural networks for unicon-strained handwritten digit recognition
Proc. Fronties in Handwritting Recognition, 145-151, 1990
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1990 72 67.5%
What Do We Maximize in Self-Supervised Learning?
arXiv preprint arXiv:2207.10081, 2022
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2022 15 67.4%
Generalization and network design strategies. Connectionism in perspective
Zurich, Switzerland, Elsiever, 1989
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1989 69 67.2%
Advances in neural information processing systems
Red Hook: Curran Associates, Inc, 2014
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2014 65 66.7%
Explorations on high dimensional landscapes
arXiv preprint arXiv:1412.6615, 2014
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2014 64 66.4%
Handwritten character recognition using neural network architectures
4th USPS advanced technology conference 2 (5), 1003-1011, 1990
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1990 68 66.3%
Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors
arXiv preprint arXiv:2103.15949, 2021
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2021 23 65.9%
Automata networks and artificial intelligence
Centre National de Recherche Scientifique on Automata networks in computer …, 1987
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1987 63 65.9%
Reverse Engineering Self-Supervised Learning
arXiv preprint arXiv:2305.15614, 2023
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2023 8 65.5%
Time delay neural network for printed and cursive handwritten character recognition
US Patent 5,105,468, 1992
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1992 65 64.9%
Saturating Auto-Encoder
International Conference on Learning Representations (ICLR2013), 2013
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2013 60 63.8%
MNIST dataset
URL http://yann. lecun. com/exdb/mnist 6, 1998
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1998 70 63.8%
Nature
Nature 521 (7553), 436, 2015
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2015 54 63.7%
A data-augmentation is worth a thousand samples: Exact quantification from analytical augmented sample moments
arXiv preprint arXiv:2202.08325, 2022
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2022 13 63.4%
Self-supervised learning: The dark matter of intelligence, 2021
URL https://ai. facebook. com/blog/self-supervised-learning-the-dark-matter …, 2021
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2021 21 63.4%
Word normalization for online handwritten word recognition
Proceedings of the 12th IAPR International Conference on Pattern Recognition …, 1994
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1994 61 62.6%
Dynamic factor graphs for time series modeling
Machine Learning and Knowledge Discovery in Databases (MLKDD), 2009, 128-143, 2009
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2009 66 62.6%
Shortest path segmentation: A method for training a neural network to recognize character strings
Neural Networks, 1992. IJCNN., International Joint Conference on 3, 165-172 …, 1992
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1992 57 62.3%
Off line recognition of handwritten postal words using neural networks
International Journal of Pattern Recognition and Artificial Intelligence 7 …, 1993
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1993 56 62.2%
Hardware requirements for neural network pattern classifiers: a case study and implementation
From pixels to features III: frontiers in handwriting recognition 3, 467, 1992
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1992 56 61.9%
Model-based planning with discrete and continuous actions
arXiv preprint arXiv:1705.07177, 2017
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2017 43 61.8%
Boosting and other machine learning algorithms
Machine Learning Proceedings 1994, 53-61, 1994
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1994 59 61.8%
EMP-SSL: Towards Self-Supervised Learning in One Training Epoch
arXiv preprint arXiv:2304.03977, 2023
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2023 7 61.8%
Compact and Optimal Deep Learning with Recurrent Parameter Generators
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
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2023 7 61.8%
MNIST handwritten digit database, 1998
URL http://www. research. att. com/yann/ocr/mnist 7, 1998
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1998 63 61.6%
Online learning for offroad robots: Using spatial label propagation to learn long-range traversability
Proc. of Robotics: Science and Systems (RSS) 11, 32, 2007
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2007 64 60.9%
Mnist handwritten digit database, yann lecun, corinna cortes and chris burges
URL http://yann. lecun. com/exdb/mnist, 2013
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2013 53 60.6%
Convolutional matching pursuit and dictionary training
arXiv preprint arXiv:1010.0422, 2010
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2010 60 60.6%
Inspirational adversarial image generation
IEEE Transactions on Image Processing 30, 4036-4045, 2021
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2021 19 60.5%
Method, system, and computer-accessible medium for classification of at least one ICTAL state
US Patent 9,443,141, 2016
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2016 44 60.4%
Unsupervised feature learning from temporal data
arXiv preprint arXiv:1504.02518, 2015
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2015 47 60.0%
A multirange architecture for collision‐free off‐road robot navigation
Journal of Field Robotics 26 (1), 52-87, 2009
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2009 59 60.0%
Large-scale kernel machines
Scaling Learning Algorithms towards AI. MIT Press, Cambridge, 2007
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2007 61 59.8%
Energy-based models in document recognition and computer vision
Ninth International Conference on Document Analysis and Recognition (ICDAR …, 2007
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2007 61 59.8%
A spectral regularizer for unsupervised disentanglement
arXiv preprint arXiv:1812.01161, 2018
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2018 35 59.4%
Bag of Image Patch Embedding Behind the Success of Self-Supervised Learning
arXiv preprint arXiv:2206.08954, 2022
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2022 11 58.4%
Universum prescription: Regularization using unlabeled data
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
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2017 37 57.9%
A hierarchical loss and its problems when classifying non-hierarchically
Plos one 14 (12), e0226222, 2019
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2019 28 57.6%
Deep generative models create new and diverse protein structures
Machine Learning for Structural Biology Workshop, NeurIPS, 2021
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2021 17 57.3%
Writer independent and writer adaptive neural network for on-line character recognition
From pixels to features III: Frontiers in handwriting recognition, 493-506, 1992
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1992 45 57.3%
GAIA: a benchmark for General AI Assistants
arXiv preprint arXiv:2311.12983, 2023
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2023 6 57.1%
Police: Provably Optimal Linear Constraint Enforcement For Deep Neural Networks
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
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2023 6 57.1%
et HINTON, Geoffrey
Deep learning. nature 521 (7553), 436, 2015
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2015 42 56.9%
Handwritten digit recognition: Applications of neural net chips and automatic learning
Neurocomputing 68, 303-318, 1990
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1990 42 56.8%
Memoires associatives distribuees
Proceedings of COGNITIVA 87, 93, 1987
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1987 40 56.8%
Hierarchical constrained automatic learning network for character recognition
US Patent 5,058,179, 1991
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1991 41 56.4%
GEMINI: gradient estimation through matrix inversion after noise injection
Advances in neural information processing systems, 141-148, 1989
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1989 40 56.4%
Binary embeddings with structured hashed projections
International Conference on Machine Learning (ICML 2016), 2015
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2015 41 56.3%
EVALUATION OF NETWORK ARCHITECTURES ON TEST LEARNING TASKS.
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1987 39 56.3%
Convolutional nets and watershed cuts for real-time semantic labeling of rgbd videos
The Journal of Machine Learning Research 15 (1), 3489-3511, 2014
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2014 43 56.0%
Mapping and planning under uncertainty in mobile robots with long-range perception
2008 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2008
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2008 51 56.0%
TiCo: Transformation Invariance and Covariance Contrast for Self-Supervised Visual Representation Learning
arXiv preprint arXiv:2206.10698, 2022
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2022 10 55.5%
projUNN: Efficient method for training deep networks with unitary matrices
Advances in Neural Information Processing Systems 35, 14448-14463, 2022
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2022 10 55.5%
Dynamic auto-encoders for semantic indexing
Proceedings of the NIPS 2010 Workshop on Deep Learning 2, 2010
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2010 47 54.9%
Module for constructing trainable modular network in which each module inputs and outputs data structured as a graph
US Patent 6,128,606, 2000
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2000 49 54.4%
Learning about an exponential amount of conditional distributions
Advances in Neural Information Processing Systems, 13703-13714, 2019
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2019 25 54.4%
Pattern Recognition and Neural Networks
The Handbook of Brain Theory and Neural Networks, 1995
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1995 41 54.4%
Graphical system for automated segmentation and recognition for image recognition systems
US Patent 5,487,117, 1996
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1996 41 54.1%
Learning stable group invariant representations with convolutional networks
arXiv preprint arXiv:1301.3537, 2013
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2013 41 54.1%
Fast approximations to structured sparse coding and applications to object classification
Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012
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2012 43 53.9%
Structured sparse coding via lateral inhibition
Advances in Neural Information Processing Systems 24, 2011
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2011 44 53.8%
A sparse and locally shift invariant feature extractor applied to document images
Ninth International Conference on Document Analysis and Recognition (ICDAR …, 2007
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2007 44 52.6%
An efficient algorithm for learning invariance in adaptive classifiers
11th IAPR International Conference on Pattern Recognition. Vol. II …, 1992
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1992 35 52.2%
Reverse TDNN: an architecture for trajectory generation
Advances in neural information processing systems 4, NIPS 1991, 579-579, 1992
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1992 35 52.2%
Memory-based character recognition using a transformation invariant metric
Proceedings of the 12th IAPR International Conference on Pattern Recognition …, 1994
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1994 36 51.6%
Mc-jepa: A joint-embedding predictive architecture for self-supervised learning of motion and content features
arXiv preprint arXiv:2307.12698, 2023
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2023 5 51.6%
Blockwise self-supervised learning at scale
arXiv preprint arXiv:2302.01647, 2023
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2023 5 51.6%
Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need
arXiv preprint arXiv:2303.15256, 2023
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2023 5 51.6%
Self-supervised learning
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence …, 2020
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2020 18 50.3%
Differentially-and non-differentially-private random decision trees
arXiv preprint arXiv:1410.6973, 2014
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2014 34 50.1%
Eblearn: Open-source energy-based learning in c++
2009 21st IEEE International Conference on Tools with Artificial …, 2009
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2009 38 50.1%
A theoretical framework for back-propagation
Artificial Neural Networks: concepts and theory, 1992
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1992 31 49.8%
Causal graph-based video segmentation
20th IEEE International Conference on Image Processing (ICIP 2013), 4249 - 4253, 2013
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2013 33 48.7%
Mémoires associatives distribuées: une comparaison (distributed associative memories: a comparison)
Proceedings of COGNITIVA 87, Paris, La Villette, May 1987, 1987
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1987 26 48.2%
Machine learning and the spatial structure of house prices and housing returns
Available at SSRN 1316046, 2008
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2008 35 48.1%
Scanning the Technology
Proceedings of the IEEE 86 (5), 755, 1998
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1998 32 47.9%
Real time voice processing with audiovisual feedback: toward autonomous agents with perfect pitch
Advances in Neural Information Processing Systems 15, NIPS 2002, 1205-1212, 2003
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2003 34 47.6%
Prediction under uncertainty with error-encoding networks
arXiv preprint arXiv:1711.04994, 2017
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2017 25 47.5%
Hierarchical loss for classification
arXiv preprint arXiv:1709.01062 16, 2017
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2017 25 47.5%
A theoretical argument for complex-valued convolutional networks
arXiv preprint arXiv:1503.03438 139, 2015
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2015 29 47.4%
System and method for sending multi-media messages using emoticons
US Patent 7,921,013, 2011
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2011 33 47.3%
Discovering the hidden structure of house prices with a non-parametric latent manifold model
Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007
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2007 34 47.2%
La plus belle histoire de l'intelligence: des origines aux neurones artificiels: vers une nouvelle étape de l'évolution
Robert Laffont, 2018
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2018 22 46.8%
Time-delay neural networks and independent component analysis for eeg-based prediction of epileptic seizures propagation
Proceedings of the national conference on artificial intelligence 22 (2), 1892, 2007
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2007 33 46.6%
Adaptive learning rates and parallelization for stochastic, sparse, non-smooth gradients
International Conference on Learning Representations (ICLR2013), 2013
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2013 30 46.3%
L’apprentissage profond, une révolution en intelligence artificielle
La lettre du Collège de France, 13, 2016
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2016 26 46.2%
An analog neural network processor and its application to high-speed character recognition.
International Joint Conference on Neural Networks. 1, 415-420, 1991
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1991 25 46.2%
Browsing through high quality document images with DjVu
Research and Technology Advances in Digital Libraries, 1998. ADL 98 …, 1998
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1998 29 46.1%
Hardware requirements for neural-net optical character recognition
1990 IJCNN International Joint Conference on Neural Networks, 855-861, 1990
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1990 24 45.9%
Optical character recognition and neural-net chips
International Neural Network Conference: July 9–13, 1990 Palais Des Congres …, 1990
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1990 24 45.9%
Guest editorial: Deep learning
International Journal of Computer Vision 113 (1), 1-2, 2015
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2015 27 45.7%
Color documents on the web with DjVu
Image Processing, 1999. ICIP 1999. Proceedings International Conference on 1 …, 1999
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1999 29 45.7%
Model-based planning in discrete action spaces
arXiv preprint arXiv:1705.07177 2, 2017
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2017 23 45.4%
Reassessing FHA risk
National Bureau of Economic Research, 2010
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2010 30 45.2%
Variance covariance regularization enforces pairwise independence in self-supervised representations
arXiv preprint arXiv:2209.14905, 2022
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2022 7 44.6%
Introduction to Latent Variable Energy-Based Models: A Path Towards Autonomous Machine Intelligence
arXiv preprint arXiv:2306.02572, 2023
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2023 4 44.5%
Discriminative feature and model design for automatic speech recognition.
Eurospeech, 1997
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1997 26 44.5%
SN: A simulator for connectionist models
Proceedings of NeuroNimes 88, Nimes, France, 1988
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1988 22 44.4%
Neural potts model
bioRxiv, 2021.04. 08.439084, 2021
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2021 11 44.2%
Unsupervised Learning of Feature Hierarchies
New York University, 2009
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2009 28 44.2%
Fast approximation of rotations and Hessians matrices
arXiv preprint arXiv:1404.7195, 2014
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2014 26 43.7%
Generalization and network design strategies: Technical Report CRG-TR-89-4
Department of computer science University of Toronto Canada, 1989
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1989 21 43.5%
Structured sparse coding via lateral inhibition
Advances in Neural Information Processing Systems 24, 2011
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2011 27 43.2%
System and method for biometric authentication in connection with camera equipped devices
US Patent 10,135,815, 2018
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2018 19 42.9%
Adaptive long range vision in unstructured terrain
2007 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2007
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2007 27 42.8%
Energy-based models
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2007 27 42.8%
Training system for neural networks
US Patent 5,572,628, 1996
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1996 22 42.8%
A general segmentation scheme for DjVu document compression
Proc. ISMM, 17-36, 2002
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2002 25 42.2%
Handwritten digit recognition with a back-propagation network, 1989
Neural Information Processing Systems (NIPS), 396-404, 1989
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1989 19 41.7%
Eyes wide shut? exploring the visual shortcomings of multimodal llms
arXiv preprint arXiv:2401.06209, 2024
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2024 3 41.0%
L. bottou, Y. bengio, and P. haffner,“Gradient-based learning applied to document recognition,”
Proceedings of IEEE 86 (1), 1-6, 1990
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1990 18 40.8%
A multi-range vision strategy for autonomous offroad navigation
Proc. Robotics and Applications (RA’07) 1 (7), 2, 2007
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2007 23 39.9%
A Data-Augmentation Is Worth A Thousand Samples: Analytical Moments And Sampling-Free Training
Advances in Neural Information Processing Systems 35, 19631-19644, 2022
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2022 6 39.9%
VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment
arXiv preprint arXiv:2210.04135, 2022
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2022 6 39.9%
Separating the world and ego models for self-driving
arXiv preprint arXiv:2204.07184, 2022
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2022 6 39.9%
Joint embedding self-supervised learning in the kernel regime
arXiv preprint arXiv:2209.14884, 2022
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2022 6 39.9%
YoshuaBengio."
Convolutional networks for images, speech, and time series." The handbook of …, 1995
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1995 18 39.4%
On-line recognition of limited-vocabulary Chinese character using multiple convolutional neural networks
1993 IEEE International Symposium on Circuits and Systems (ISCAS), 2435-2438, 1993
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1993 17 39.2%
Efficient conversion of digital documents to multilayer raster formats
Document Analysis and Recognition, 2001. Proceedings. Sixth International …, 2001
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2001 20 39.1%
Sparse coding with multi-layer decoders using variance regularization
arXiv preprint arXiv:2112.09214, 2021
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2021 9 38.3%
E cient BackProp
Lecture Notes in Computer Science 1524, 5-50, 1998
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1998 18 37.9%
D. henderson, re howard, w. hubbard, and lj jackel
Handwritten digit recognition with a back-propagation network 1, 396-404, 1990
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1990 15 37.5%
Using connectionist modules for decision support
Methods of Information in Medicine 29 (03), 167-181, 1990
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1990 15 37.5%
Synergistic face detection and pose estimation with energy-based models
Toward Category-Level Object Recognition, 196-206, 2006
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2006 19 37.3%
What’s wrong with deep learning
CVPR, keynote, 2015
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2015 18 36.5%
Traffic signs and pedestrians vision with multi-scale convolutional networks
Snowbird Machine Learning Workshop 2 (3), 8, 2011
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2011 19 36.4%
Toward real-time indoor semantic segmentation using depth information
Journal of Machine Learning Research, 2014
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2014 18 35.9%
Method and apparatus for image segmentation
US Patent 5,253,304, 1993
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1993 14 35.8%
Universal halting times in optimization and machine learning
Quarterly of Applied Mathematics 76 (2), 289-301, 2018
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2018 14 35.7%
Une Procedure dśapprentissage pour reseau a seuil assymetrique cog'nitiva 85: A la Frontiere de lqIntelligence Artificielle des Sciences de la Connais' sance des Neurosciences
Paris, France, 1985
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1985 13 35.4%
Natural Versus
Workshop on Physics and Computation, 122,123,124,125,126,127-122,123,124,125 …, 1992
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1992 14 35.3%
Language, common sense, and the Winograd schema challenge
Artificial Intelligence, 104031, 2023
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2023 3 35.0%
Neural network applications in character recognition and document analysis
Neural networks in Telecommunications, 271-285, 1994
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1994 14 34.5%
Constrained neural networks for pattern recognition
Neural networks: concepts, applications and implementations. Prentice Hall, 1991
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1991 13 34.4%
The MNIST database of handwritten digits. 1998
URL http://yann. lecun. com/exdb/mnist, 2018
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2018 13 34.0%
Deep learning est mort. vive differentiable programming
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2018 13 34.0%
Learning maneuver dictionaries for ground robot planning
Proc. 39th International Symposium on Robotics (ISR08), 2008
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2008 16 34.0%
Advances in neural information processing systems
Advances in Neural Information Processing Systems, 2001
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2001 14 33.8%
VLSI implementations of electronic neural networks: An example in character recognition
1990 IEEE International Conference on Systems, Man, and Cybernetics …, 1990
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1990 12 33.6%
MNIST handwritten digit database (2010)
Access mode: http://yann. lecun. com/exdb/mnist, 2010
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2010 16 33.6%
Learning representations by maximizing compression
arXiv preprint arXiv:1108.1169, 2011
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2011 16 33.5%
Graph transformer networks for image recognition
Bulletin of the 55th Biennial Session of the International Statistical …, 2005
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2005 14 32.7%
My take on Ali Rahimi’s ‘Test of Time’award talk at NIPS
Facebook, https://www. facebook. com/yann. lecun/posts/101 54938130592143, 06-12, 2017
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2017 13 32.5%
Learning world models: The next step towards AI
Keynote, the 27th IJCAI, 2018
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2018 12 32.3%
E cient pattern recognition using a new transformation distance, inAdvances in Neural Information Processing Systems'
Morgan Kaufman, San Mateo, CA, 1993
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1993 11 31.8%
Method and apparatus for symbol recognition using multidimensional preprocessing at multiple resolutions
US Patent 5,337,372, 1994
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1994 12 31.8%
Improving generalization performance in character recognition
Neural Networks for Signal Processing: Proceedings of the 1991 IEEE-SP …, 1991
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1991 11 31.6%
The mnist database
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1998 12 31.5%
Method and apparatus for standardization of inputs to word recognition systems
US Patent 5,774,586, 1998
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1998 12 31.5%
Efficient off-road localization using visually corrected odometry
Robotics and Automation (ICRA), 2009. IEEE International Conference on, 2649 …, 2009
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2009 13 31.1%
Real-time adaptive off-road vehicle navigation and terrain classification
Unmanned Systems Technology XV 8741, 71-89, 2013
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2013 14 31.1%
Neural information processing scaled for bioacoustics, from neurons to big data
Proceedings of Neural Information Processing Scaled for Bioacoustics: from …, 2013
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2013 14 31.1%
Speed-range dilemmas for vision-based navigation in unstructured terrain
IFAC Proceedings Volumes 40 (15), 300-305, 2007
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2007 13 30.6%
Overview of the djvu document compression technology
Proceedings of the Symposium on Document Image Understanding Technologies …, 2001
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2001 11 30.2%
Gradient-based learning applied to document recognitionntion
Intelligent Signal Processing, 306-351, 2001
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2001 11 30.2%
Source separation with scattering non-negative matrix factorization
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
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2015 13 30.2%
Efficient learning and second-older methods, a tutorial
Advances in neural information processing, Denver, CO, 1993
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1993 10 30.2%
DjVu: a compression method for distributing scanned documents in color over the internet
Color and Imaging Conference 1998 (1), 220-223, 1998
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1998 11 30.1%
Special issue on applications of artificial neural networks to image processing
IEEE Transactions on Image Processing 7 (8), 1998
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1998 11 30.1%
Modeles connexionnistes de l’apprentissage (connectionist learning models)(Ph. D. thesis)
IAAI Laboratory, Paris, France, 1987
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1987 9 30.0%
Les enjeux de la recherche en intelligence artificielle
Accès https://dataanalyticspost. com/wp-content/uploads/2017/04 …, 2016
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2016 12 29.7%
Hybrid hessians for flexible optimization of pose graphs
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010
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2010 12 28.9%
Guest editorial applications of artificial neural networks to image processing
IEEE Transactions on Image Processing 7 (8), 1093-1096, 1998
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1998 10 28.7%
Improving the convergence of backpropagation learning with second order methods In Proceedings of the 1988 Connectionist Models Summer School pages 29–37
CA, USA29–37, 1989
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1989 9 28.3%
Light-weight probing of unsupervised representations for reinforcement learning
arXiv preprint arXiv:2208.12345, 2022
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2022 4 28.3%
Lush reference manual
URL http://lush. sourceforge. net, 2002
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2002 10 28.2%
Reverse time delay neural network for pattern generation
US Patent 5,412,754, 1995
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1995 9 27.8%
Backpropagation for implicit spectral densities
arXiv preprint arXiv:1806.00499, 2018
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2018 9 27.0%
Multimedia Processing for Advanced Communications Services
Multimedia Communications, 510-523, 1999
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1999 9 26.7%
Optimal brain damage. Advances of NIPS2
Morgan Kaufmann. San Mateo, 1990
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1990 8 26.7%
A neural network approach to handprint character recognition.
Compcon, 472-475, 1991
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1991 8 26.2%
The mnist dataset
Retrieved April 29, 2022, 1998
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1998 8 25.5%
Bio-inspired vision processor for ultra-fast object categorization
Proc. High Performance Embedded Computing Workshop, 2010
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2010 9 24.8%
Fast incremental learning for off-road robot navigation
arXiv preprint arXiv:1606.08057, 2016
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2016 9 24.8%
Une procedure d’apprentissage pour reseau a seuil asymetrique. proceedings of Cognitiva 85
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1985 7 24.4%
Fast training of convolutional networks through FFTS: international conference on learning representations (ICLR2014), CBLS, april 2014
2nd International Conference on Learning Representations, ICLR 2014, 2014
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2014 9 24.2%
High performance computer acoustic data accelerator (HPC-ADA): A new system for exploring marine mammal acoustics for big data applications
Proc. ICML Unsupervised learning for Bioacoustics, 1-8, 2014
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2014 9 24.2%
Bioacoustic challenges in icml4b
in Proc. of 1st workshop on Machine Learning for Bioacoustics. No. USA, ISSN …, 2013
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2013 9 24.2%
SN: Un simulateur pour réseaux connexionnistes
Neuro-Nîmes 88, 371-382, 1988
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1988 7 24.1%
Qu’est-ce que l’intelligence artificielle
chaire Recherches sur l’intelligence artificielle, informatique et sciences …, 2017
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2017 8 23.9%
Neural Networks and Gradient-Based Learning in OCR (invited talk)
Neural Networks for Signal Processing [1997] VII. Proceedings of the 1997 …, 1997
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1997 7 23.4%
Hardware accelerated visual attention algorithm
2011 45th Annual Conference on Information Sciences and Systems, 1-6, 2011
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2011 8 23.3%
Gradient-based learning for object detection, segmentation and recognition
Feature Grouping, 1999
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1999 7 23.3%
Phase 4: Dcl system using deep learning approaches for land-based or ship-based real-time recognition and localization of marine mammals-distributed processing and big data applications
arXiv preprint arXiv:1605.00982, 2016
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2016 8 23.0%
DjVu document browsing with on-demand loading and rendering of image components
Internet Imaging II 4311, 7-16, 2000
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2000 7 22.9%
Machine Learning and Pattern Recognition
lecture presented at The Courant Institute, New York University, 2004
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2004 7 22.8%
High performance computer acoustic data accelerator: A new system for exploring marine mammal acoustics for big data applications
arXiv preprint arXiv:1509.03591, 2015
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2015 8 22.6%
Self-supervised learning with lie symmetries for partial differential equations
arXiv preprint arXiv:2307.05432, 2023
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2023 2 21.8%
Optical character recognition: A technology driver for neural networks
IEEE International Symposium on Circuits and Systems, 2433-2436, 1990
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1990 6 21.7%
Using curvature information to improve back-propagation
Neural Networks 1 (1 SUPPL), 1988
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1988 6 21.6%
Efficient learning of sparse invariant representations
arXiv preprint arXiv:1105.5307, 2011
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2011 7 21.5%
Method and apparatus for symbol recognition using multidimensional preprocessing and symbol sorting
US Patent 5,647,022, 1997
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1997 6 21.1%
Minimalistic unsupervised learning with the sparse manifold transform
arXiv preprint arXiv:2209.15261, 2022
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2022 3 21.0%
Joint embedding predictive architectures focus on slow features
arXiv preprint arXiv:2211.10831, 2022
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2022 3 21.0%
Unsupervised learning of structured representations via closed-loop transcription
arXiv preprint arXiv:2210.16782, 2022
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2022 3 21.0%
Simultaneous learning of trees and representations for extreme classification, with application to language modeling
arXiv preprint arXiv:1610.04658, 2016
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2016 7 21.0%
Audio source separation with discriminative scattering networks
Latent Variable Analysis and Signal Separation: 12th International …, 2015
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2015 7 20.8%
DjVu: un système de compression d’images pour la distribution réticulaire de documents numérisés
Actes de CIFED’2000, 453-462, 2000
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2000 6 20.6%
Byte-level recursive convolutional auto-encoder for text
arXiv preprint arXiv:1802.01817, 2018
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2018 6 20.4%
AAAI’2020 keynotes turing award winners event
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2020 5 20.1%
Methods, systems, and media for detecting spoofing in mobile authentication
US Patent 10,735,959, 2020
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2020 5 20.1%
The deep learning revolution
Turing Lecture at FCRC, 2019
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2019 5 19.1%
DCL System Using Deep Learning Approaches for Land-Based or Ship-Based Real Time Recognition and Localization of Marine Mammals. Bioacoustics Research Program, Cornell University Ithaca United States
Bioacoustics Research Program, Cornell University: Ithaca, NY, USA, 2015
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2015 6 18.7%
Hardware Requirements for Neural Network Pattern Classifiers a Case Study and Implementation
IEEE Micro 12 (1), 32-40, 1992
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1992 5 18.5%
On-line handwriting recognition with neural networks: Spatial representation versus temporal representation
Proceedings of the International Conference on Handwriting and Drawing, 1993
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1993 5 18.3%
Scho lkopf
B., Smola, A., Vincent, P., Weston, J., Williamson, RC, 2443-2466, 2007
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2007 5 17.4%
Fully Adaptive Visual Navigation for Autonomous Vehicles
Proc. Army Science Conference, 2010
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2010 5 17.1%
L’apprentissage profond
Lectures at Collège de France, 2016
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2016 5 16.4%
Conversion of digital documents to multilayer raster formats
Proceedings of the International Conference on Document Analysis and …, 2001
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2001 4 15.7%
On-line learning of long-range obstacle detection for off-road robots
The Learning Workshop at Snowbird 5, 2006
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2006 4 15.6%
READING CHECKS WITH MULTILAYER GRAPH TRANSFORM i3R NETWORKS
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1997 4 15.3%
Tutorial: learning deep architectures
Videlectures. net videolectures. net/icml09_bengio_lecun_tldar, 2009
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2009 4 15.2%
The feasibility of applying numerical optimization techniques to back-propagation
Proceedings, 1988 Connectionist Models Summer School, 1988
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1988 4 15.2%
Object Recognition, Computer Vision, and the Caltech 101: A Response to Pinto et al
PLoS Computational Biology, 2008
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2008 4 14.9%
Yann LeCun
Architects of Intelligence. Packt Publishing, Birmingham, 2018
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2018 4 14.8%
Tutorial: Geometric deep learning on graphs and manifolds
Society for Industrial and Applied Mathematics (SIAM), 2018
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2018 4 14.8%
Convolutional Neural Networks
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2018 4 14.8%
Overfeat: Integrated Recognition, Localization and Detection Using Convolutional Networks. arxiv. Org
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2013 4 14.1%
Discriminative recurrent sparse auto-encoders: 1st International Conference on Learning Representations, ICLR 2013
1st International Conference on Learning Representations, ICLR 2013, 2013
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2013 4 14.1%
Unsupervised learning
Unsupervised learning, 2016
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2016 4 13.7%
System and method for biometric authentication in connection with camera-equipped devices
US Patent 10,728,242, 2020
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2020 3 12.4%
Methods, systems, and media for detecting spoofing in mobile authentication
US Patent 11,425,562, 2022
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2022 2 12.1%
Minimalistic unsupervised representation learning with the sparse manifold transform
The Eleventh International Conference on Learning Representations, 2022
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2022 2 12.1%
Method and apparatus for symbol recognition using multidimensional preprocessing
US Patent 5,625,708, 1997
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1997 3 11.7%
Optical character recogntion for automatic teller machines
Industrial applications of neural networks, 375-378, 1998
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1998 3 11.5%
NeuFlow: A Runtime Reconfigurable Dataflow Architecture for Vision (abstract)
Learning Workshop at Snowbird, 2011
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2011 3 11.3%
Building heterogeneous platforms for end-to-end online learning based on dataflow computing design. 78
Dec, 2010
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2010 3 11.3%
Geometric deep learning on graphs and manifolds
Proceedings of Conference on Neural Information Processing Systems, Los …, 2017
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2017 3 11.2%
Marc’Aurelio Ranzato
Deep Learning Tutorial, ICML, Atlanta, 2013
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2013 3 10.9%
Indoor semantic segmentation using depth information: 1st international conference on learning representations, iclr 2013
1st International Conference on Learning Representations, ICLR 2013, 2013
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2013 3 10.9%
Guest editorial: Deep learning
International Journal of Computer Vision 113 (1), 1-2, 2015
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2015 3 10.7%
Energy-Based Self-Supervised Learning
Nov 19, 68, 2019
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2019 2 7.3%
Learning with Reflective Likelihoods
https://openreview.net/forum?id=SJlh2jR9FX&noteId=rJxOVW7714, 2018
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2018 2 6.9%
Pattern recognition and neural networks
Handbook of Brain Theory & Neural Networks, 1996
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1996 2 6.9%
An FPGA-Based Stream Processor for Embedded Real-Time Vision with Convolutional Networks
IEEE 12th International Conference on Computer Vision Workshops, 2009
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2009 2 6.8%
Generalization using back-propagation
Proceedings of the First International Conference on Neural Networks, San …, 1987
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1987 2 6.8%
End-to-end learning of vision-based obstacle avoidance for off-road robots
Learning@ Snowbird Workshop, 2004
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2004 2 6.8%
Handwritten digit recognition: applications of neural net chips and automatic learning
Artificial neural networks, 463-468, 1992
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1992 2 6.7%
Usability study of text entry interfaces for wireless personal organizers and communicators
Conference proceedings of Interfaces to Real and Virtual Worlds, Montpellier …, 1995
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1995 2 6.6%
Localizing faces in images
REVUE TECHNIQUE-THOMSON CSF 25, 23-23, 1993
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1993 2 6.5%
Phase 1: DCL System Research Using Advanced Approaches for Land-based or Ship-based Real-Time Recognition and Localization of Marine Mammals-HPC System Implementation
arXiv preprint arXiv:1605.00971, 2016
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2016 2 6.4%
What is the Best Feature Learning Procedure in Hierarchical Recognition Architectures?
arXiv preprint arXiv:1606.01535, 2016
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2016 2 6.4%
The bottleneck in human letter recognition: A computational model
Vision Sciences Society, 16-21, 2014
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2014 2 6.3%
JS Denker, D
Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel. Handwritten digit …, 1990
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1990 2 6.2%
Advances in artificial intelligence
CIIAM 86: proceedings of the 2nd International Conference on Artificial …, 1986
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1986 1 0.0%
Neural-Net Applications in Character Recognition and
AT & T Bell Laboratories, 1995
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1995 1 0.0%
Fast and Exact Enumeration of Deep Networks Partitions Regions
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
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2023 1 0.0%
Applying neural network technologies
AAAI Tutorials, 1990
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1990 1 0.0%
Handwritten Digit Recognition: Applications of Neural Net Chips and Automatic
Neuro-computing: Algorithms, Architectures and Applications 68, 303, 2012
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2012 1 0.0%
Adversarially-Trained Normalized Noisy-Feature Auto-Encoder for Text Generation
arXiv preprint arXiv:1811.04201, 2018
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2018 1 0.0%
Hardware Considerations for Neural-net Character Recognition Systems
From Pixels to Features II, 1990
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1990 1 0.0%
Deep learning with elastic averaging SGD: 3rd International Conference on Learning Representations, ICLR 2015
3rd International Conference on Learning Representations, ICLR 2015, 2015
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2015 1 0.0%
Loss functions for discriminative training of energy-based graphical models
NIPS, 2005
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2005 1 0.0%
High-Accuracy Object Recognition with a New Convolutional Net Architecture and Learning Algorithm (abstract)
The Learning Workshop, 2009
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2009 1 0.0%
Deep Learning & Convolutional Networks In Vision (part 2)
VRML Paris, 2013
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2013 1 0.0%