Publications: Yann LeCun
| Title | Year | Citations | Score |
|---|---|---|---|
|
Gradient-based learning applied to document recognition
Proceedings of the IEEE, 1998 View Details |
1998 | 59237 | 100.0% |
|
Signature Verification Using A "Siamese" Time Delay Neural Network
International journal of pattern recognition and artificial intelligence, 1993 View Details |
1993 | 4087 | 99.9% |
|
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
International Conference on Learning Representations, 2013 View Details |
2013 | 5106 | 99.9% |
|
Spectral Networks and Locally Connected Networks on Graphs
International Conference on Learning Representations, 2013 View Details |
2013 | 5291 | 99.9% |
|
A Tutorial on Energy-Based Learning
2006 View Details |
2006 | 1743 | 99.9% |
|
Optimal Brain Damage
Neural Information Processing Systems, 1989 View Details |
1989 | 5181 | 99.9% |
|
A Path Towards Autonomous Machine Intelligence Version 0.9.2, 2022-06-27
2022 View Details |
2022 | 671 | 99.9% |
|
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
International Conference on Machine Learning, 2021 View Details |
2021 | 2846 | 99.9% |
|
Regularization of Neural Networks using DropConnect
International Conference on Machine Learning, 2013 View Details |
2013 | 2625 | 99.9% |
|
MDETR - Modulated Detection for End-to-End Multi-Modal Understanding
IEEE International Conference on Computer Vision, 2021 View Details |
2021 | 1080 | 99.9% |
|
Character-level Convolutional Networks for Text Classification
Neural Information Processing Systems, 2015 View Details |
2015 | 6830 | 99.9% |
|
Efficient object localization using Convolutional Networks
Computer Vision and Pattern Recognition, 2014 View Details |
2014 | 1430 | 99.9% |
|
A Closer Look at Spatiotemporal Convolutions for Action Recognition
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 View Details |
2017 | 3466 | 99.9% |
|
Learning Hierarchical Features for Scene Labeling
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013 View Details |
2013 | 2768 | 99.9% |
|
Backpropagation Applied to Handwritten Zip Code Recognition
Neural Computation, 1989 View Details |
1989 | 11909 | 99.9% |
|
Deep learning, reinforcement learning, and world models
Neural Networks, 2022 View Details |
2022 | 433 | 99.9% |
|
Learning methods for generic object recognition with invariance to pose and lighting
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., 2004 View Details |
2004 | 1574 | 99.9% |
|
Efficient Learning of Sparse Representations with an Energy-Based Model
Neural Information Processing Systems, 2006 View Details |
2006 | 1395 | 99.9% |
|
Convolutional networks and applications in vision
Proceedings of 2010 IEEE International Symposium on Circuits and Systems, 2010 View Details |
2010 | 2097 | 99.9% |
|
Understanding Dimensional Collapse in Contrastive Self-supervised Learning
International Conference on Learning Representations, 2021 View Details |
2021 | 453 | 99.9% |
|
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
Journal of machine learning research, 2015 View Details |
2015 | 1443 | 99.9% |
|
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
Neural Information Processing Systems, 2014 View Details |
2014 | 1802 | 99.9% |
|
Dimensionality Reduction by Learning an Invariant Mapping
Computer Vision and Pattern Recognition, 2006 View Details |
2006 | 5667 | 99.9% |
|
The Loss Surfaces of Multilayer Networks
International Conference on Artificial Intelligence and Statistics, 2014 View Details |
2014 | 1280 | 99.9% |
|
A Cookbook of Self-Supervised Learning
arXiv.org, 2023 View Details |
2023 | 374 | 99.9% |
|
Deep Learning
2015 View Details |
2015 | 38982 | 99.9% |
|
Learning mid-level features for recognition
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010 View Details |
2010 | 1157 | 99.9% |
|
Handwritten Digit Recognition with a Back-Propagation Network
Neural Information Processing Systems, 1989 View Details |
1989 | 4297 | 99.9% |
|
Efficient BackProp
Neural Networks, 2012 View Details |
2012 | 3429 | 99.9% |
|
Deep Convolutional Networks on Graph-Structured Data
arXiv.org, 2015 View Details |
2015 | 1659 | 99.9% |
|
Very Deep Convolutional Networks for Text Classification
Conference of the European Chapter of the Association for Computational Linguistics, 2016 View Details |
2016 | 1012 | 99.9% |
|
Deep learning for AI
Communications of the ACM, 2021 View Details |
2021 | 594 | 99.9% |
|
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
Computer Vision and Pattern Recognition, 2023 View Details |
2023 | 675 | 99.9% |
|
Energy-based Generative Adversarial Network
International Conference on Learning Representations, 2016 View Details |
2016 | 1137 | 99.9% |
|
Scaling learning algorithms towards AI
2007 View Details |
2007 | 1373 | 99.9% |
|
Deep multi-scale video prediction beyond mean square error
International Conference on Learning Representations, 2015 View Details |
2015 | 1962 | 99.9% |
|
Learning a similarity metric discriminatively, with application to face verification
Computer Vision and Pattern Recognition, 2005 View Details |
2005 | 4496 | 99.9% |
|
What is the best multi-stage architecture for object recognition?
IEEE International Conference on Computer Vision, 2009 View Details |
2009 | 2370 | 99.9% |
|
The mnist database of handwritten digits
2005 View Details |
2005 | 7251 | 99.9% |
|
Pattern Recognition and Neural Networks
1995 View Details |
1995 | 4584 | 99.9% |
|
Entropy-SGD: biasing gradient descent into wide valleys
International Conference on Learning Representations, 2016 View Details |
2016 | 852 | 99.9% |
|
Augmented Language Models: a Survey
Trans. Mach. Learn. Res., 2023 View Details |
2023 | 516 | 99.9% |
|
Convolutional networks for images, speech, and time series
1998 View Details |
1998 | 6086 | 99.9% |
|
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation
Neural Information Processing Systems, 2014 View Details |
2014 | 1598 | 99.9% |
|
Geometric Deep Learning: Going beyond Euclidean data
IEEE Signal Processing Magazine, 2016 View Details |
2016 | 3713 | 99.9% |
|
A Theoretical Analysis of Feature Pooling in Visual Recognition
International Conference on Machine Learning, 2010 View Details |
2010 | 1384 | 99.9% |
|
Learning Fast Approximations of Sparse Coding
International Conference on Machine Learning, 2010 View Details |
2010 | 1966 | 99.9% |
|
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
International Conference on Learning Representations, 2021 View Details |
2021 | 1156 | 99.9% |
|
Catalyzing next-generation Artificial Intelligence through NeuroAI
Nature Communications, 2022 View Details |
2022 | 266 | 99.8% |
|
Pedestrian Detection with Unsupervised Multi-stage Feature Learning
2013 IEEE Conference on Computer Vision and Pattern Recognition, 2012 View Details |
2012 | 832 | 99.8% |
|
Fast Training of Convolutional Networks through FFTs
International Conference on Learning Representations, 2013 View Details |
2013 | 642 | 99.8% |
|
Generalization and network design strategies
1989 View Details |
1989 | 1103 | 99.8% |
|
Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks
ACM Transactions on Graphics, 2014 View Details |
2014 | 815 | 99.8% |
|
Computing the stereo matching cost with a convolutional neural network
Computer Vision and Pattern Recognition, 2014 View Details |
2014 | 805 | 99.8% |
|
Traffic sign recognition with multi-scale Convolutional Networks
The 2011 International Joint Conference on Neural Networks, 2011 View Details |
2011 | 799 | 99.8% |
|
Sparse Feature Learning for Deep Belief Networks
Neural Information Processing Systems, 2007 View Details |
2007 | 946 | 99.8% |
|
Text Understanding from Scratch
arXiv.org, 2015 View Details |
2015 | 569 | 99.8% |
|
Deep learning with Elastic Averaging SGD
Neural Information Processing Systems, 2014 View Details |
2014 | 636 | 99.8% |
|
Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition
2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007 View Details |
2007 | 1188 | 99.8% |
|
Convolutional neural networks applied to house numbers digit classification
International Conference on Pattern Recognition, 2012 View Details |
2012 | 560 | 99.7% |
|
Indoor Semantic Segmentation using depth information
International Conference on Learning Representations, 2013 View Details |
2013 | 502 | 99.7% |
|
Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks
arXiv.org, 2018 View Details |
2018 | 396 | 99.7% |
|
Object Recognition with Gradient-Based Learning
Shape, Contour and Grouping in Computer Vision, 1999 View Details |
1999 | 1032 | 99.7% |
|
Convolutional Learning of Spatio-temporal Features
European Conference on Computer Vision, 2010 View Details |
2010 | 700 | 99.7% |
|
Disentangling factors of variation in deep representation using adversarial training
Neural Information Processing Systems, 2016 View Details |
2016 | 517 | 99.7% |
|
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods
Neural Information Processing Systems, 2022 View Details |
2022 | 164 | 99.6% |
|
Comparison of learning algorithms for handwritten digit recognition
1995 View Details |
1995 | 727 | 99.6% |
|
Decoupled Contrastive Learning
European Conference on Computer Vision, 2021 View Details |
2021 | 237 | 99.6% |
|
Learning by teaching.
The Australian nurses' journal. Royal Australian Nursing Federation, 1977 View Details |
1977 | 618 | 99.6% |
|
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning
International Conference on Learning Representations, 2023 View Details |
2023 | 135 | 99.6% |
|
VICRegL: Self-Supervised Learning of Local Visual Features
Neural Information Processing Systems, 2022 View Details |
2022 | 164 | 99.6% |
|
Learning Convolutional Feature Hierarchies for Visual Recognition
Neural Information Processing Systems, 2010 View Details |
2010 | 592 | 99.6% |
|
No more pesky learning rates
International Conference on Machine Learning, 2012 View Details |
2012 | 492 | 99.6% |
|
Fast Convolutional Nets With fbfft: A GPU Performance Evaluation
International Conference on Learning Representations, 2014 View Details |
2014 | 356 | 99.5% |
|
Super-Resolution with Deep Convolutional Sufficient Statistics
International Conference on Learning Representations, 2015 View Details |
2015 | 337 | 99.5% |
|
Very Deep Convolutional Networks for Natural Language Processing
arXiv.org, 2016 View Details |
2016 | 323 | 99.5% |
|
Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone
Neural Information Processing Systems, 2022 View Details |
2022 | 155 | 99.5% |
|
Comparison of classifier methods: a case study in handwritten digit recognition
Signal Processing, 1994 View Details |
1994 | 671 | 99.5% |
|
Off-Road Obstacle Avoidance through End-to-End Learning
Neural Information Processing Systems, 2005 View Details |
2005 | 615 | 99.5% |
|
To Compress or Not to Compress—Self-Supervised Learning and Information Theory: A Review
Entropy, 2023 View Details |
2023 | 110 | 99.5% |
|
Efficient Pattern Recognition Using a New Transformation Distance
Neural Information Processing Systems, 1992 View Details |
1992 | 582 | 99.5% |
|
Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation
Neural Networks, 1996 View Details |
1996 | 582 | 99.4% |
|
Handwritten digit recognition: applications of neural network chips and automatic learning
IEEE Communications Magazine, 1989 View Details |
1989 | 483 | 99.4% |
|
Learning algorithms for classification: A comparison on handwritten digit recognition
1995 View Details |
1995 | 572 | 99.4% |
|
Adversarially Regularized Autoencoders
International Conference on Machine Learning, 2017 View Details |
2017 | 297 | 99.4% |
|
A Generalization of ViT/MLP-Mixer to Graphs
International Conference on Machine Learning, 2022 View Details |
2022 | 127 | 99.4% |
|
Classification of patterns of EEG synchronization for seizure prediction.
Clinical Neurophysiology, 2009 View Details |
2009 | 401 | 99.3% |
|
On the duality between contrastive and non-contrastive self-supervised learning
International Conference on Learning Representations, 2022 View Details |
2022 | 118 | 99.3% |
|
Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond
2016 View Details |
2016 | 264 | 99.3% |
|
Improving the convergence of back-propagation learning with second-order methods
1989 View Details |
1989 | 447 | 99.3% |
|
NeuFlow: A runtime reconfigurable dataflow processor for vision
CVPR 2011 WORKSHOPS, 2011 View Details |
2011 | 387 | 99.3% |
|
Learning and Leveraging World Models in Visual Representation Learning
arXiv.org, 2024 View Details |
2024 | 61 | 99.3% |
|
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank
International Conference on Machine Learning, 2022 View Details |
2022 | 116 | 99.2% |
|
The Effects of Regularization and Data Augmentation are Class Dependent
Neural Information Processing Systems, 2022 View Details |
2022 | 114 | 99.2% |
|
The role of over-parametrization in generalization of neural networks
International Conference on Learning Representations, 2019 View Details |
2019 | 209 | 99.2% |
|
Stacked What-Where Auto-encoders
arXiv.org, 2015 View Details |
2015 | 263 | 99.2% |
|
Predicting Deeper into the Future of Semantic Segmentation
IEEE International Conference on Computer Vision, 2017 View Details |
2017 | 251 | 99.2% |
|
Tracking the World State with Recurrent Entity Networks
International Conference on Learning Representations, 2016 View Details |
2016 | 234 | 99.1% |
|
Measuring the VC-Dimension of a Learning Machine
Neural Computation, 1994 View Details |
1994 | 437 | 99.1% |
|
Learning invariant features through topographic filter maps
2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009 View Details |
2009 | 348 | 99.1% |
|
CNP: An FPGA-based processor for Convolutional Networks
International Conference on Field-Programmable Logic and Applications, 2009 View Details |
2009 | 363 | 99.1% |
|
Synergistic Face Detection and Pose Estimation with Energy-Based Models
Journal of machine learning research, 2004 View Details |
2004 | 429 | 99.0% |
|
Boosting and Other Ensemble Methods
Neural Computation, 1994 View Details |
1994 | 408 | 99.0% |
|
Large-scale Learning with SVM and Convolutional for Generic Object Categorization
Computer Vision and Pattern Recognition, 2006 View Details |
2006 | 383 | 99.0% |
|
Large Scale Online Learning
Neural Information Processing Systems, 2003 View Details |
2003 | 453 | 99.0% |
|
Ask the locals: Multi-way local pooling for image recognition
Vision, 2011 View Details |
2011 | 305 | 99.0% |
|
Very deep multilingual convolutional neural networks for LVCSR
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2015 View Details |
2015 | 225 | 99.0% |
|
Learning long‐range vision for autonomous off‐road driving
J. Field Robotics, 2009 View Details |
2009 | 318 | 98.9% |
|
Transforming Neural-Net Output Levels to Probability Distributions
Neural Information Processing Systems, 1990 View Details |
1990 | 336 | 98.9% |
|
The Mind of a Mouse.
Cell, 2020 View Details |
2020 | 171 | 98.9% |
|
Road Scene Segmentation from a Single Image
European Conference on Computer Vision, 2012 View Details |
2012 | 254 | 98.9% |
|
Learning in High Dimension Always Amounts to Extrapolation
arXiv.org, 2021 View Details |
2021 | 118 | 98.8% |
|
Tangent Prop - A Formalism for Specifying Selected Invariances in an Adaptive Network
Neural Information Processing Systems, 1991 View Details |
1991 | 323 | 98.8% |
|
Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors
Workshop on Knowledge Extraction and Integration for Deep Learning Architectures; Deep Learning Inside Out, 2021 View Details |
2021 | 115 | 98.7% |
|
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs
International Conference on Machine Learning, 2016 View Details |
2016 | 187 | 98.7% |
|
Improving generalization performance using double backpropagation
IEEE Trans. Neural Networks, 1992 View Details |
1992 | 305 | 98.6% |
|
Predictive network modeling of the high-resolution dynamic plant transcriptome in response to nitrate
Genome Biology, 2010 View Details |
2010 | 254 | 98.5% |
|
Deep Learning Made Easier by Linear Transformations in Perceptrons
International Conference on Artificial Intelligence and Statistics, 2012 View Details |
2012 | 211 | 98.5% |
|
Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition
arXiv.org, 2010 View Details |
2010 | 252 | 98.5% |
|
Hardware accelerated convolutional neural networks for synthetic vision systems
Proceedings of 2010 IEEE International Symposium on Circuits and Systems, 2010 View Details |
2010 | 240 | 98.4% |
|
Scene parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers
International Conference on Machine Learning, 2012 View Details |
2012 | 205 | 98.4% |
|
Toward automatic phenotyping of developing embryos from videos
IEEE Transactions on Image Processing, 2005 View Details |
2005 | 290 | 98.3% |
|
MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation
Asian Conference on Computer Vision, 2014 View Details |
2014 | 178 | 98.3% |
|
Une procedure d'apprentissage pour reseau a seuil asymmetrique (A learning scheme for asymmetric threshold networks)
1985 View Details |
1985 | 223 | 98.2% |
|
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic
International Conference on Learning Representations, 2019 View Details |
2019 | 129 | 98.2% |
|
Unsupervised Learning of Spatiotemporally Coherent Metrics
IEEE International Conference on Computer Vision, 2014 View Details |
2014 | 165 | 98.1% |
|
Handwritten zip code recognition with multilayer networks
[1990] Proceedings. 10th International Conference on Pattern Recognition, 1990 View Details |
1990 | 236 | 98.1% |
|
DeSIGN: Design Inspiration from Generative Networks
ECCV Workshops, 2018 View Details |
2018 | 134 | 98.1% |
|
High quality document image compression with "DjVu"
J. Electronic Imaging, 1998 View Details |
1998 | 277 | 98.0% |
|
The Need for Open Source Software in Machine Learning
Journal of machine learning research, 2007 View Details |
2007 | 242 | 98.0% |
|
Recurrent Orthogonal Networks and Long-Memory Tasks
International Conference on Machine Learning, 2016 View Details |
2016 | 137 | 97.9% |
|
Comparing dynamics: deep neural networks versus glassy systems
International Conference on Machine Learning, 2018 View Details |
2018 | 125 | 97.9% |
|
1.1 Deep Learning Hardware: Past, Present, and Future
IEEE International Solid-State Circuits Conference, 2019 View Details |
2019 | 118 | 97.9% |
|
Introduction to latent variable energy-based models: a path toward autonomous machine intelligence
Journal of Statistical Mechanics: Theory and Experiment, 2023 View Details |
2023 | 51 | 97.8% |
|
Learning to Linearize Under Uncertainty
Neural Information Processing Systems, 2015 View Details |
2015 | 144 | 97.8% |
|
The Loss Surface of Multilayer Networks
arXiv.org, 2014 View Details |
2014 | 148 | 97.8% |
|
Learning Invariant Feature Hierarchies
ECCV Workshops, 2012 View Details |
2012 | 161 | 97.6% |
|
Understanding Deep Architectures using a Recursive Convolutional Network
International Conference on Learning Representations, 2013 View Details |
2013 | 147 | 97.5% |
|
Moving Beyond Feature Design: Deep Architectures and Automatic Feature Learning in Music Informatics
International Society for Music Information Retrieval Conference, 2012 View Details |
2012 | 153 | 97.4% |
|
Reverse Engineering Self-Supervised Learning
Neural Information Processing Systems, 2023 View Details |
2023 | 47 | 97.4% |
|
Multi-Digit Recognition Using a Space Displacement Neural Network
Neural Information Processing Systems, 1991 View Details |
1991 | 192 | 97.3% |
|
Open Problem: The landscape of the loss surfaces of multilayer networks
Annual Conference Computational Learning Theory, 2015 View Details |
2015 | 128 | 97.3% |
|
Effiicient BackProp
Neural Networks, 1996 View Details |
1996 | 216 | 97.3% |
|
Feature learning and deep architectures: new directions for music informatics
Journal of Intelligence and Information Systems, 2013 View Details |
2013 | 138 | 97.2% |
|
Design of a neural network character recognizer for a touch terminal
Pattern Recognition, 1991 View Details |
1991 | 177 | 97.0% |
|
Comparing SVM and convolutional networks for epileptic seizure prediction from intracranial EEG
IEEE Workshop on Machine Learning for Signal Processing, 2008 View Details |
2008 | 175 | 97.0% |
|
The SSL Interplay: Augmentations, Inductive Bias, and Generalization
International Conference on Machine Learning, 2023 View Details |
2023 | 42 | 96.9% |
|
Predicting Future Instance Segmentations by Forecasting Convolutional Features
European Conference on Computer Vision, 2018 View Details |
2018 | 99 | 96.9% |
|
Self-supervised learning of Split Invariant Equivariant representations
International Conference on Machine Learning, 2023 View Details |
2023 | 42 | 96.9% |
|
Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution
arXiv.org, 2022 View Details |
2022 | 54 | 96.9% |
|
An analog neural network processor with programmable topology
IEEE J. Solid State Circuits, 1991 View Details |
1991 | 163 | 96.7% |
|
MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features
arXiv.org, 2023 View Details |
2023 | 40 | 96.6% |
|
Unsupervised Learning of Sparse Features for Scalable Audio Classification
International Society for Music Information Retrieval Conference, 2011 View Details |
2011 | 137 | 96.5% |
|
A Mathematical Motivation for Complex-Valued Convolutional Networks
Neural Computation, 2015 View Details |
2015 | 108 | 96.5% |
|
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors
Neural Information Processing Systems, 2022 View Details |
2022 | 50 | 96.5% |
|
Large-Scale FPGA-based Convolutional Networks
2011 View Details |
2011 | 134 | 96.4% |
|
Neural Manifold Clustering and Embedding
arXiv.org, 2022 View Details |
2022 | 49 | 96.4% |
|
LeRec: A NN/HMM Hybrid for On-Line Handwriting Recognition
Neural Computation, 1995 View Details |
1995 | 166 | 96.2% |
|
Statistical Machine Learning and Dissolved Gas Analysis: A Review
IEEE Transactions on Power Delivery, 2012 View Details |
2012 | 116 | 96.0% |
|
Learning processes in an asymmetric threshold network
1986 View Details |
1986 | 126 | 95.9% |
|
Application of the ANNA neural network chip to high-speed character recognition
IEEE Trans. Neural Networks, 1992 View Details |
1992 | 145 | 95.9% |
|
Loss Functions for Discriminative Training of Energy-Based Models
International Conference on Artificial Intelligence and Statistics, 2005 View Details |
2005 | 159 | 95.7% |
|
Signal recovery from Pooling Representations
International Conference on Machine Learning, 2013 View Details |
2013 | 102 | 95.6% |
|
A Unified Energy-Based Framework for Unsupervised Learning
International Conference on Artificial Intelligence and Statistics, 2007 View Details |
2007 | 141 | 95.5% |
|
Boxlets: A Fast Convolution Algorithm for Signal Processing and Neural Networks
Neural Information Processing Systems, 1998 View Details |
1998 | 156 | 95.4% |
|
Learning long-range vision for autonomous off-road driving
2009 View Details |
2009 | 125 | 95.3% |
|
Unsupervised Image Matching and Object Discovery as Optimization
Computer Vision and Pattern Recognition, 2019 View Details |
2019 | 69 | 95.1% |
|
Adversarially Regularized Autoencoders for Generating Discrete Structures
arXiv.org, 2017 View Details |
2017 | 79 | 95.1% |
|
Transformation invariance in pattern recognition: Tangent distance and propagation
International journal of imaging systems and technology (Print), 2000 View Details |
2000 | 160 | 95.0% |
|
Language, common sense, and the Winograd schema challenge
Artificial Intelligence, 2023 View Details |
2023 | 30 | 94.6% |
|
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations
Neural Information Processing Systems, 2023 View Details |
2023 | 30 | 94.6% |
|
EMP-SSL: Towards Self-Supervised Learning in One Training Epoch
arXiv.org, 2023 View Details |
2023 | 30 | 94.6% |
|
projUNN: efficient method for training deep networks with unitary matrices
Neural Information Processing Systems, 2022 View Details |
2022 | 38 | 94.5% |
|
NeuFlow: Dataflow vision processing system-on-a-chip
Midwest Symposium on Circuits and Systems, 2012 View Details |
2012 | 93 | 94.5% |
|
Second Order Properties of Error Surfaces: Learning Time and Generalization
Neural Information Processing Systems, 1990 View Details |
1990 | 108 | 94.4% |
|
Which Encoding is the Best for Text Classification in Chinese, English, Japanese and Korean?
arXiv.org, 2017 View Details |
2017 | 72 | 94.4% |
|
An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization
arXiv.org, 2023 View Details |
2023 | 29 | 94.3% |
|
Masked Siamese ConvNets
arXiv.org, 2022 View Details |
2022 | 37 | 94.2% |
|
Automatic recognition of biological particles in microscopic images
Pattern Recognition Letters, 2007 View Details |
2007 | 119 | 94.2% |
|
Automatic Learning Rate Maximization by On-Line Estimation of the Hessian's Eigenvectors
Neural Information Processing Systems, 1992 View Details |
1992 | 110 | 94.1% |
|
Global training of document processing systems using graph transformer networks
Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997 View Details |
1997 | 122 | 93.8% |
|
Implicit Rank-Minimizing Autoencoder
Neural Information Processing Systems, 2020 View Details |
2020 | 54 | 93.6% |
|
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 View Details |
2008 | 100 | 93.3% |
|
Regularized estimation of image statistics by Score Matching
Neural Information Processing Systems, 2010 View Details |
2010 | 88 | 92.9% |
|
Discriminative Recurrent Sparse Auto-Encoders
International Conference on Learning Representations, 2013 View Details |
2013 | 73 | 92.8% |
|
Globally Trained Handwritten Word Recognizer Using Spatial Representation, Convolutional Neural Networks, and Hidden Markov Models
Neural Information Processing Systems, 1993 View Details |
1993 | 94 | 92.7% |
|
Comparison between Frame-Constrained Fix-Pixel-Value and Frame-Free Spiking-Dynamic-Pixel ConvNets for Visual Processing
Frontiers in Neuroscience, 2012 View Details |
2012 | 75 | 92.5% |
|
Blockwise Self-Supervised Learning at Scale
Trans. Mach. Learn. Res., 2023 View Details |
2023 | 24 | 92.3% |
|
Explorations on high dimensional landscapes
International Conference on Learning Representations, 2014 View Details |
2014 | 65 | 92.2% |
|
Singularity of the Hessian in Deep Learning
arXiv.org, 2016 View Details |
2016 | 58 | 92.0% |
|
Image and video coding-emerging standards and beyond
IEEE Trans. Circuits Syst. Video Technol., 1998 View Details |
1998 | 91 | 90.9% |
|
Model-Based Planning with Discrete and Continuous Actions
2017 View Details |
2017 | 51 | 90.8% |
|
Emergence of Complex-Like Cells in a Temporal Product Network with Local Receptive Fields
arXiv.org, 2010 View Details |
2010 | 72 | 90.8% |
|
Word-level training of a handwritten word recognizer based on convolutional neural networks
Signal Processing, 1994 View Details |
1994 | 78 | 90.6% |
|
TiCo: Transformation Invariance and Covariance Contrast for Self-Supervised Visual Representation Learning
arXiv.org, 2022 View Details |
2022 | 26 | 90.1% |
|
VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment
Trans. Mach. Learn. Res., 2022 View Details |
2022 | 26 | 90.1% |
|
A Spectral Regularizer for Unsupervised Disentanglement
arXiv.org, 2018 View Details |
2018 | 44 | 89.8% |
|
Semantic Road Segmentation via Multi-scale Ensembles of Learned Features
ECCV Workshops, 2012 View Details |
2012 | 58 | 89.6% |
|
Structured sparse coding via lateral inhibition
Neural Information Processing Systems, 2011 View Details |
2011 | 58 | 88.8% |
|
Orthogonal RNNs and Long-Memory Tasks
arXiv.org, 2016 View Details |
2016 | 44 | 88.6% |
|
An FPGA-based stream processor for embedded real-time vision with Convolutional Networks
2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops, 2009 View Details |
2009 | 61 | 88.2% |
|
What Do We Maximize in Self-Supervised Learning?
arXiv.org, 2022 View Details |
2022 | 22 | 87.6% |
|
Constrained neural network for unconstrained handwritten digit recognition
1990 View Details |
1990 | 54 | 87.5% |
|
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations
arXiv.org, 2018 View Details |
2018 | 36 | 86.9% |
|
Energy-Based Models in Document Recognition and Computer Vision
IEEE International Conference on Document Analysis and Recognition, 2007 View Details |
2007 | 61 | 86.9% |
|
The Power and Limits of Deep Learning
Research technology management, 2018 View Details |
2018 | 36 | 86.9% |
|
Light-weight probing of unsupervised representations for Reinforcement Learning
RLJ, 2022 View Details |
2022 | 21 | 86.8% |
|
Handwritten character recognition using neural network architectures
1990 View Details |
1990 | 51 | 86.7% |
|
Reading handwritten digits: a ZIP code recognition system
Computer, 1992 View Details |
1992 | 54 | 86.7% |
|
Dynamic Factor Graphs for Time Series Modeling
ECML/PKDD, 2009 View Details |
2009 | 54 | 86.6% |
|
Saturating Auto-Encoders
International Conference on Learning Representations, 2013 View Details |
2013 | 43 | 86.1% |
|
A Data-Augmentation Is Worth A Thousand Samples: Analytical Moments And Sampling-Free Training
Neural Information Processing Systems, 2022 View Details |
2022 | 20 | 86.0% |
|
A Data-Augmentation Is Worth A Thousand Samples: Exact Quantification From Analytical Augmented Sample Moments
arXiv.org, 2022 View Details |
2022 | 20 | 86.0% |
|
Convolutional Matching Pursuit and Dictionary Training
arXiv.org, 2010 View Details |
2010 | 49 | 85.8% |
|
On the applications of multimedia processing to communications
Proceedings of the IEEE, 1998 View Details |
1998 | 59 | 85.4% |
|
Reading checks with multilayer graph transformer networks
IEEE International Conference on Acoustics, Speech, and Signal Processing, 1997 View Details |
1997 | 57 | 85.2% |
|
A hierarchical loss and its problems when classifying non-hierarchically
PLoS ONE, 2017 View Details |
2017 | 34 | 84.9% |
|
A multirange architecture for collision‐free off‐road robot navigation
J. Field Robotics, 2009 View Details |
2009 | 48 | 84.8% |
|
Learning Stable Group Invariant Representations with Convolutional Networks
International Conference on Learning Representations, 2013 View Details |
2013 | 39 | 84.6% |
|
Learning about an exponential amount of conditional distributions
Neural Information Processing Systems, 2019 View Details |
2019 | 29 | 84.2% |
|
Guest Editorial: Deep Learning
International Journal of Computer Vision, 2015 View Details |
2015 | 35 | 84.1% |
|
Unsupervised Feature Learning from Temporal Data
International Conference on Learning Representations, 2015 View Details |
2015 | 35 | 84.1% |
|
Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need
IEEE International Conference on Computer Vision, 2023 View Details |
2023 | 14 | 84.0% |
|
Convolutional nets and watershed cuts for real-time semantic Labeling of RGBD videos
Journal of machine learning research, 2014 View Details |
2014 | 36 | 84.0% |
|
Police: Provably Optimal Linear Constraint Enforcement For Deep Neural Networks
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2022 View Details |
2022 | 18 | 84.0% |
|
Fast Approximations to Structured Sparse Coding and Applications to Object Classification
European Conference on Computer Vision, 2012 View Details |
2012 | 39 | 83.9% |
|
DjVu: analyzing and compressing scanned documents for Internet distribution
Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318), 1999 View Details |
1999 | 53 | 83.1% |
|
Binary embeddings with structured hashed projections
International Conference on Machine Learning, 2015 View Details |
2015 | 33 | 83.1% |
|
Hardware requirements for neural network pattern classifiers: a case study and implementation
IEEE Micro, 1992 View Details |
1992 | 42 | 83.0% |
|
Intra-Instance VICReg: Bag of Self-Supervised Image Patch Embedding
arXiv.org, 2022 View Details |
2022 | 17 | 82.9% |
|
Universum Prescription: Regularization Using Unlabeled Data
AAAI Conference on Artificial Intelligence, 2015 View Details |
2015 | 32 | 82.5% |
|
Pushing Stochastic Gradient towards Second-Order Methods -- Backpropagation Learning with Transformations in Nonlinearities
International Conference on Learning Representations, 2013 View Details |
2013 | 34 | 82.3% |
|
[Learning with computers].
Schweizer Monatsschrift fur Zahnmedizin = Revue mensuelle suisse d'odonto-stomatologie = Rivista mensile svizzera di odontologia e stomatologia, 1998 View Details |
1998 | 48 | 82.2% |
|
Boosting and Other Machine Learning Algorithms
International Conference on Machine Learning, 1994 View Details |
1994 | 41 | 81.8% |
|
Differentially- and non-differentially-private random decision trees
arXiv.org, 2014 View Details |
2014 | 31 | 81.4% |
|
Inspirational Adversarial Image Generation
arXiv.org, 2019 View Details |
2019 | 24 | 80.6% |
|
Word normalization for on-line handwritten word recognition
1994 View Details |
1994 | 38 | 80.5% |
|
Mapping and planning under uncertainty in mobile robots with long-range perception
2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008 View Details |
2008 | 38 | 80.4% |
|
Joint Embedding Self-Supervised Learning in the Kernel Regime
arXiv.org, 2022 View Details |
2022 | 15 | 80.2% |
|
GEMINI: Gradient Estimation Through Matrix Inversion After Noise Injection
Neural Information Processing Systems, 1988 View Details |
1988 | 32 | 80.1% |
|
Adaptive learning rates and parallelization for stochastic, sparse, non-smooth gradients
International Conference on Learning Representations, 2013 View Details |
2013 | 30 | 80.1% |
|
Dynamic auto-encoders for semantic indexing
2010 View Details |
2010 | 34 | 79.9% |
|
Globally trained handwritten word recognizer using spatial representation, space displacement neural networks and hidden Markov models
1993 View Details |
1993 | 36 | 79.9% |
|
Geometric Deep Learning: Going beyond Euclidean data
IEEE Signal Processing Magazine, 2017 View Details |
2017 | 26 | 79.9% |
|
EBLearn: Open-Source Energy-Based Learning in C++
IEEE International Conference on Tools with Artificial Intelligence, 2009 View Details |
2009 | 34 | 79.2% |
|
Prediction Under Uncertainty with Error-Encoding Networks
arXiv.org, 2017 View Details |
2017 | 25 | 79.2% |
|
Handwritten Digit Recognition: Applications of Neural Net Chips and Automatic Learning
NATO Neurocomputing, 1989 View Details |
1989 | 30 | 78.9% |
|
GLoMo: Unsupervised Learning of Transferable Relational Graphs
Neural Information Processing Systems, 2018 View Details |
2018 | 23 | 78.7% |
|
Off Line Recognition of Handwritten Postal Words Using Neural Networks
International journal of pattern recognition and artificial intelligence, 1993 View Details |
1993 | 33 | 78.4% |
|
Fast Approximation of Rotations and Hessians matrices
arXiv.org, 2014 View Details |
2014 | 26 | 78.2% |
|
Causal graph-based video segmentation
2013 IEEE International Conference on Image Processing, 2013 View Details |
2013 | 26 | 77.5% |
|
Online Learning for Offroad Robots: Spatial Label Propagation to Learn Long-Range Traversability
Robotics: Science and Systems, 2007 View Details |
2007 | 34 | 77.5% |
|
Joint Embedding Predictive Architectures Focus on Slow Features
arXiv.org, 2022 View Details |
2022 | 13 | 77.0% |
|
Variance-Covariance Regularization Improves Representation Learning
arXiv.org, 2023 View Details |
2023 | 10 | 76.7% |
|
Writer independent and writer adaptive neural network for on-line character recognition
1992 View Details |
1992 | 28 | 75.8% |
|
Machine Learning and the Spatial Structure of House Prices and Housing Returns
2008 View Details |
2008 | 29 | 75.7% |
|
Memory-based character recognition using a transformation invariant metric
Signal Processing, 1994 View Details |
1994 | 29 | 75.6% |
|
Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations
arXiv.org, 2022 View Details |
2022 | 12 | 75.0% |
|
Discovering the hidden structure of house prices with a non-parametric latent manifold model
Knowledge Discovery and Data Mining, 2007 View Details |
2007 | 28 | 74.0% |
|
Reverse TDNN: An Architecture For Trajectory Generation
Neural Information Processing Systems, 1991 View Details |
1991 | 24 | 73.4% |
|
A Sparse and Locally Shift Invariant Feature Extractor Applied to Document Images
IEEE International Conference on Document Analysis and Recognition, 2007 View Details |
2007 | 27 | 73.3% |
|
Memoires associatives distribuees: Une comparaison (Distributed associative memories: A comparison)
1987 View Details |
1987 | 22 | 73.2% |
|
Hierarchical loss for classification
arXiv.org, 2017 View Details |
2017 | 18 | 72.4% |
|
Sparse Coding with Multi-Layer Decoders using Variance Regularization
Trans. Mach. Learn. Res., 2021 View Details |
2021 | 13 | 72.2% |
|
Real Time Voice Processing with Audiovisual Feedback: Toward Autonomous Agents with Perfect Pitch
Neural Information Processing Systems, 2002 View Details |
2002 | 28 | 71.3% |
|
Model-Based Planning in Discrete Action Spaces
arXiv.org, 2017 View Details |
2017 | 17 | 71.1% |
|
Time-Delay Neural Networks and Independent Component Analysis for EEG-Based Prediction of Epileptic Seizures Propagation
AAAI Conference on Artificial Intelligence, 2007 View Details |
2007 | 23 | 70.3% |
|
Word normalization for online handwritten word recognition
Signal Processing, 1994 View Details |
1994 | 22 | 70.1% |
|
An efficient algorithm for learning invariance in adaptive classifiers
Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems, 1992 View Details |
1992 | 21 | 70.1% |
|
Toward real-time indoor semantic segmentation using depth information
2014 View Details |
2014 | 17 | 69.8% |
|
Unsupervised Learning of Feature Hierarchies
2009 View Details |
2009 | 20 | 69.4% |
|
PROC OF THE IEEE NOVEMBER Gradient Based Learning Applied to Document Recognition
2006 View Details |
2006 | 22 | 68.8% |
|
Sn: A simulator for connectionist models
1988 View Details |
1988 | 17 | 67.8% |
|
Unsupervised Learning of Structured Representations via Closed-Loop Transcription
CPAL, 2022 View Details |
2022 | 9 | 67.6% |
|
Bag of Image Patch Embedding Behind the Success of Self-Supervised Learning
Trans. Mach. Learn. Res., 2022 View Details |
2022 | 9 | 67.6% |
|
Learning Representations by Maximizing Compression
arXiv.org, 2011 View Details |
2011 | 17 | 67.5% |
|
Source separation with scattering Non-Negative Matrix Factorization
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2015 View Details |
2015 | 15 | 67.5% |
|
High Performance Computer Acoustic Data Accelerator: A New System for Exploring Marine Mammal Acoustics for Big Data Applications
arXiv.org, 2015 View Details |
2015 | 15 | 67.5% |
|
A general segmentation scheme for DjVu document compression
2002 View Details |
2002 | 21 | 65.7% |
|
Adaptive long range vision in unstructured terrain
2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2007 View Details |
2007 | 18 | 65.6% |
|
Discriminative feature and model design for automatic speech recognition
EUROSPEECH, 1997 View Details |
1997 | 19 | 65.0% |
|
Hybrid hessians for flexible optimization of pose graphs
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010 View Details |
2010 | 15 | 64.8% |
|
Minimalistic Unsupervised Learning with the Sparse Manifold Transform
arXiv.org, 2022 View Details |
2022 | 8 | 64.5% |
|
Browsing through high quality document images with DjVu
Proceedings IEEE International Forum on Research and Technology Advances in Digital Libraries -ADL'98-, 1998 View Details |
1998 | 18 | 63.5% |
|
Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform
International Conference on Learning Representations, 2023 View Details |
2023 | 6 | 63.4% |
|
Stochastic positional embeddings improve masked image modeling
International Conference on Machine Learning, 2023 View Details |
2023 | 6 | 63.4% |
|
Adapting Grounded Visual Question Answering Models to Low Resource Languages
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023 View Details |
2023 | 6 | 63.4% |
|
Learning maneuver dictionaries for ground robot planning
2008 View Details |
2008 | 15 | 63.2% |
|
Automatic Learning Rate Maximization in Large Adaptive Machines
Neural Information Processing Systems, 1992 View Details |
1992 | 15 | 63.0% |
|
Neural Potts Model
bioRxiv, 2021 View Details |
2021 | 9 | 63.0% |
|
Real-time adaptive off-road vehicle navigation and terrain classification
Defense, Security, and Sensing, 2013 View Details |
2013 | 12 | 62.1% |
|
A multi-range vision strategy for autonomous offroad navigation
2007 View Details |
2007 | 15 | 62.1% |
|
Second Order Properties of Error Surfaces
Neural Information Processing Systems, 1990 View Details |
1990 | 13 | 61.6% |
|
Learning in Informal Settings
2012 View Details |
2012 | 12 | 61.5% |
|
Applications of Artificial Neural Networks to Image Processing
1998 View Details |
1998 | 16 | 61.1% |
|
The NIPS workshop on Deep Learning and Unsupervised Feature Learning
2011 View Details |
2011 | 12 | 60.6% |
|
Backpropagation for Implicit Spectral Densities
arXiv.org, 2018 View Details |
2018 | 10 | 60.4% |
|
E cient Learning of Sparse Overcomplete Representations with an Energy-Based Model
Neural Information Processing Systems, 2006 View Details |
2006 | 14 | 60.1% |
|
Hardware requirements for neural-net optical character recognition
1990 IJCNN International Joint Conference on Neural Networks, 1990 View Details |
1990 | 12 | 59.9% |
|
Natural Versus "universal" Probability, Complexity, And Entropy
Workshop on Physics and Computation, 1992 View Details |
1992 | 13 | 59.9% |
|
On-line recognition of limited-vocabulary Chinese character using multiple convolutional neural networks
1993 IEEE International Symposium on Circuits and Systems, 1993 View Details |
1993 | 13 | 59.5% |
|
Graph transformer networks for image recognition
2005 View Details |
2005 | 14 | 59.5% |
|
A theoretical argument for complex-valued convolutional networks
arXiv.org, 2015 View Details |
2015 | 10 | 59.0% |
|
Saturating Auto-Encoder
International Conference on Learning Representations, 2013 View Details |
2013 | 10 | 58.4% |
|
Fast and Exact Enumeration of Deep Networks Partitions Regions
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023 View Details |
2023 | 5 | 58.3% |
|
A time delay neural network character recognizer for a touch terminal
1990 View Details |
1990 | 11 | 58.1% |
|
Efficient off-road localization using visually corrected odometry
IEEE International Conference on Robotics and Automation, 2009 View Details |
2009 | 11 | 57.9% |
|
Simultaneous Learning of Trees and Representations for Extreme Classification, with Application to Language Modeling
arXiv.org, 2016 View Details |
2016 | 9 | 57.6% |
|
A neural network approach to handprint character recognition
COMPCON Spring '91 Digest of Papers, 1991 View Details |
1991 | 11 | 57.0% |
|
Universal halting times in optimization and machine learning
2015 View Details |
2015 | 9 | 56.8% |
|
Separating the World and Ego Models for Self-Driving
arXiv.org, 2022 View Details |
2022 | 6 | 56.6% |
|
Color documents on the Web with DjVu
Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348), 1999 View Details |
1999 | 13 | 56.1% |
|
SPEED-RANGE DILEMMAS FOR VISION-BASED NAVIGATION IN UNSTRUCTURED TERRAIN
2007 View Details |
2007 | 10 | 54.4% |
|
Neural Network Applications in Character Recognition and Document Analysis
1994 View Details |
1994 | 10 | 53.4% |
|
Fast Incremental Learning for Off-Road Robot Navigation
arXiv.org, 2016 View Details |
2016 | 7 | 52.4% |
|
Efficient conversion of digital documents to multilayer raster formats
Proceedings of Sixth International Conference on Document Analysis and Recognition, 2001 View Details |
2001 | 10 | 51.0% |
|
Hardware accelerated visual attention algorithm
Annual Conference on Information Sciences and Systems, 2011 View Details |
2011 | 7 | 50.1% |
|
On the application of multimedia processing to telecommunications
Proceedings of International Conference on Image Processing, 1997 View Details |
1997 | 9 | 49.6% |
|
DjVu: a Compression Method for Distributing Scanned Documents in Color over the Internet
International Conference on Communications in Computing, 1998 View Details |
1998 | 9 | 49.4% |
|
Compact and Optimal Deep Learning with Recurrent Parameter Generators
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2021 View Details |
2021 | 5 | 48.2% |
|
Constrained neural networks for pattern recognition
1991 View Details |
1991 | 7 | 47.4% |
|
Learning with Reflective Likelihoods
2018 View Details |
2018 | 5 | 45.5% |
|
Universality in halting time and its applications in optimization
arXiv.org, 2015 View Details |
2015 | 5 | 45.0% |
|
The bottlenecks in human letter recognition: a computational model
2014 View Details |
2014 | 5 | 45.0% |
|
Efficient Learning of Sparse Invariant Representations
arXiv.org, 2011 View Details |
2011 | 5 | 43.8% |
|
Factor Graphs for Relational Regression
2008 View Details |
2008 | 5 | 42.5% |
|
Audio Source Separation with Discriminative Scattering Networks
Latent Variable Analysis and Signal Separation, 2014 View Details |
2014 | 4 | 40.7% |
|
DCL System Using Deep Learning Approaches for Land-Based or Ship-Based Real-Time Recognition and Localization of Marine Mammals
2013 View Details |
2013 | 4 | 40.6% |
|
1 Efficient BackProp
2012 View Details |
2012 | 4 | 40.3% |
|
Time Series Modeling with Hidden Variables and Gradient-Based Algorithms
2010 View Details |
2010 | 4 | 39.9% |
|
Inspirational Adversarial Image Generation
IEEE Transactions on Image Processing, 2021 View Details |
2021 | 3 | 36.6% |
|
Recurrent Parameter Generators
arXiv.org, 2021 View Details |
2021 | 3 | 36.6% |
|
On-line handwriting recognition with neural networks: Spatial representation versus temporal representation
1993 View Details |
1993 | 4 | 35.5% |
|
Byte-Level Recursive Convolutional Auto-Encoder for Text
arXiv.org, 2018 View Details |
2018 | 3 | 35.5% |
|
Learning Through the Breach: Language Socialization
2012 View Details |
2012 | 3 | 35.1% |
|
Bio-Inspired Vision Processor for Ultra-Fast Object Categorization
2010 View Details |
2010 | 3 | 34.8% |
|
Neural Networks and Gradient-Based Learning in OCR
Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop, 1997 View Details |
1997 | 4 | 34.2% |
|
OPTICAL CHARACTER RECOGNTION FOR AUTOMATIC TELLER MACHINES
1998 View Details |
1998 | 3 | 29.4% |
|
Phase 2: DCL System Using Deep Learning Approaches for Land-based or Ship-based Real-Time Recognition and Localization of Marine Mammals - Machine Learning Detection Algorithms
arXiv.org, 2016 View Details |
2016 | 2 | 28.8% |
|
Discriminative recurrent sparse auto-encoders: 1st International Conference on Learning Representations, ICLR 2013
International Conference on Learning Representations, 2013 View Details |
2013 | 2 | 28.5% |
|
No More Pesky Learning Rates : Supplementary Material
2013 View Details |
2013 | 2 | 28.5% |
|
AAAS AMA: Hi, we’re researchers from Google, Microsoft, and Facebook who study Artificial Intelligence. Ask us anything!
2018 View Details |
2018 | 2 | 28.3% |
|
Learning and Development After School
2012 View Details |
2012 | 2 | 28.2% |
|
Learning from Text
2012 View Details |
2012 | 2 | 28.2% |
|
Learning Feature Hierarchies for Object Recognition
2010 View Details |
2010 | 2 | 28.0% |
|
Workshop summary: Workshop on learning feature hierarchies
International Conference on Machine Learning, 2009 View Details |
2009 | 2 | 27.2% |
|
Learning Long-Range Vision for an Offroad Robot
2008 View Details |
2008 | 2 | 26.9% |
|
On-Line Learning of Long-Range Obstacle Detection for Off-Road Robots
2006 View Details |
2006 | 2 | 25.8% |
|
Generalization using back-propagation
1987 View Details |
1987 | 2 | 25.3% |
|
Using curvature information to improve back-propagation
Neural Networks, 1988 View Details |
1988 | 2 | 25.2% |
|
Djvu: Un systeme de compression d'images pour la distribution reticulaire de documents numerises (Djvu: An image compression system for distributing scanned document on the internet)
2000 View Details |
2000 | 2 | 23.4% |
|
Multimedia Processing for Advanced Communications Services
1999 View Details |
1999 | 2 | 22.9% |
|
URLOST: Unsupervised Representation Learning without Stationarity or Topology
International Conference on Learning Representations, 2023 View Details |
2023 | 1 | 21.3% |
|
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
2016 View Details |
2016 | 1 | 18.5% |
|
What is the Best Feature Learning Procedure in Hierarchical Recognition Architectures?
arXiv.org, 2016 View Details |
2016 | 1 | 18.5% |
|
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.org, 2016 View Details |
2016 | 1 | 18.5% |
|
Saturating auto-encoders: International Conference on Learning Representations, ICLR 2013
International Conference on Learning Representations, 2013 View Details |
2013 | 1 | 18.4% |
|
Building Artificial Vision Systems with Machine Learning
2011 View Details |
2011 | 1 | 18.0% |
|
High-Accuracy Object Recognition with a New Convolutional Net Architecture and Learning Algorithm
2009 View Details |
2009 | 1 | 17.5% |
|
Literacy and Learning
2009 View Details |
2009 | 1 | 17.5% |
|
Computeur Vision and Pattern Recognition (CVPR). Conference
Computer Vision and Pattern Recognition, 2008 View Details |
2008 | 1 | 17.3% |
|
Learning on automata networks
1987 View Details |
1987 | 1 | 15.9% |