LeCun, Yann

Deep learning

LeCun, Y., Bengio, Y., & Hinton, G. (2015) · Nature

Neural Networks and ApplicationsAdvanced Neural Network Applications

Cited by 84,126

Gradient-based learning applied to document recognition

Lecun, Y., Bottou, L., Bengio, Y., & Haffner, P. (1998) · Proceedings of the IEEE

Handwritten Text Recognition TechniquesVehicle License Plate Recognition

Cited by 58,805

Backpropagation Applied to Handwritten Zip Code Recognition

LeCun, Y., Boser, B., Denker, J. S., Henderson, D., Howard, R. E., Hubbard, W., & Jackel, L. D. (1989) · Neural Computation

Handwritten Text Recognition TechniquesNeural Networks and Applications

Cited by 11,891

Dimensionality Reduction by Learning an Invariant Mapping

Hadsell, R., Chopra, S., & LeCun, Y. (2006) · 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06)

Face and Expression RecognitionNeural Networks and Applications

Cited by 5,336

Learning a Similarity Metric Discriminatively, with Application to Face Verification

Chopra, S., Hadsell, R., & LeCun, Y. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)

Face and Expression RecognitionFace recognition and analysis

Cited by 4,036

Spectral Networks and Locally Connected Networks on Graphs

Bruna, J., Zaremba, W., Szlam, A., & LeCun, Y. (2013) · arXiv

Advanced Graph Neural NetworksNeural Networks and Applications

Cited by 3,983

A Closer Look at Spatiotemporal Convolutions for Action Recognition

Tran, D., Wang, H., Torresani, L., Ray, J., LeCun, Y., & Paluri, M. (2017) · arXiv

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 3,664

Geometric Deep Learning: Going beyond Euclidean data

Bronstein, M. M., Bruna, J., LeCun, Y., Szlam, A., & Vandergheynst, P. (2017) · IEEE Signal Processing Magazine

Advanced Graph Neural NetworksTopological and Geometric Data Analysis

Cited by 3,661

OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks

Sermanet, P., Eigen, D., Zhang, X., Mathieu, M., Fergus, R., & LeCun, Y. (2013) · arXiv

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 2,680

Learning Hierarchical Features for Scene Labeling

Farabet, C., Couprie, C., Najman, L., & LeCun, Y. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 2,620

SIGNATURE VERIFICATION USING A “SIAMESE” TIME DELAY NEURAL NETWORK

BROMLEY, J., BENTZ, J. W., BOTTOU, L., GUYON, I., LECUN, Y., MOORE, C., SÄCKINGER, E., & SHAH, R. (1994) · Series in Machine Perception and Artificial Intelligence

Handwritten Text Recognition TechniquesUser Authentication and Security Systems

Cited by 2,350

Convolutional networks and applications in vision

LeCun, Y., Kavukcuoglu, K., & Farabet, C. (2010) · Proceedings of 2010 IEEE International Symposium on Circuits and Systems

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,213

What is the best multi-stage architecture for object recognition?

Jarrett, K., Kavukcuoglu, K., Ranzato, M. A., & LeCun, Y. (2009) · 2009 IEEE 12th International Conference on Computer Vision

Advanced Image and Video Retrieval TechniquesAdvanced Neural Network Applications

Cited by 2,153

Signature Verification Using A "Siamese" Time Delay Neural Network

BROMLEY, J., BENTZ, J. W., BOTTOU, L., GUYON, I., LECUN, Y., MOORE, C., SÄCKINGER, E., & SHAH, R. (1993) · International Journal of Pattern Recognition and Artificial Intelligence

Handwritten Text Recognition TechniquesUser Authentication and Security Systems

Cited by 2,077

Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation

Denton, R., Zaremba, W., Bruna, J., LeCun, Y., & Fergus, R. (2014) · arXiv

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 1,414

Efficient object localization using Convolutional Networks

Tompson, J., Goroshin, R., Jain, A., LeCun, Y., & Bregler, C. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionAdvanced Neural Network Applications

Cited by 1,365

Learning methods for generic object recognition with invariance to pose and lighting

LeCun, Y., Huang, F. J., & Bottou, L. (2004) · Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.

Advanced Image and Video Retrieval TechniquesAdvanced Neural Network Applications

Cited by 1,324

Deep Convolutional Networks on Graph-Structured Data

Henaff, M., Bruna, J., & LeCun, Y. (2015) · arXiv

Advanced Graph Neural NetworksNeural Networks and Applications

Cited by 1,255

Efficient Learning of Sparse Representations with an Energy-Based Model

Ranzato, M., Poultney, C., Chopra, S., & LeCun, Y. (2007) · Advances in Neural Information Processing Systems 19

Sparse and Compressive Sensing TechniquesAdvanced Neural Network Applications

Cited by 1,106

Very Deep Convolutional Networks for Text Classification

Conneau, A., Schwenk, H., Barrault, L., & Lecun, Y. (2017) · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers

Topic ModelingText and Document Classification Technologies

Cited by 1,046

Object Recognition with Gradient-Based Learning

LeCun, Y., Haffner, P., Bottou, L., & Bengio, Y. (1999) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsHandwritten Text Recognition Techniques

Cited by 947

Energy-based Generative Adversarial Network

Zhao, J., Mathieu, M., & LeCun, Y. (2016) · arXiv

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 912

The Loss Surfaces of Multilayer Networks

Choromanska, A., Henaff, M., Mathieu, M., Arous, G. B., & LeCun, Y. (2014) · arXiv

Stochastic Gradient Optimization TechniquesNeural Networks and Applications

Cited by 733

Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

Assran, M., Duval, Q., Misra, I., Bojanowski, P., Vincent, P., Rabbat, M., LeCun, Y., & Ballas, N. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 456