Yann LeCun

Camille Couprie, Clément Farabet, Yann LeCun: Causal graph-based video segmentation. CoRR abs/1301.1671 (2013)

Tommi Vatanen, Tapani Raiko, Harri Valpola, Yann LeCun: Pushing Stochastic Gradient towards Second-Order Methods -- Backpropagation Learning with Transformations in Nonlinearities. CoRR abs/1301.3476 (2013)

Joan Bruna, Arthur Szlam, Yann LeCun: Learning Stable Group Invariant Representations with Convolutional Networks. CoRR abs/1301.3537 (2013)

Camille Couprie, Clément Farabet, Laurent Najman, Yann LeCun: Indoor Semantic Segmentation using depth information. CoRR abs/1301.3572 (2013)

Rostislav Goroshin, Yann LeCun: Saturating Auto-Encoder. CoRR abs/1301.3577 (2013)

Tom Schaul, Yann LeCun: Adaptive learning rates and parallelization for stochastic, sparse, non-smooth gradients. CoRR abs/1301.3764 (2013)

Jason Tyler Rolfe, Yann LeCun: Discriminative Recurrent Sparse Auto-Encoders. CoRR abs/1301.3775 (2013)

Tapani Raiko, Harri Valpola, Yann LeCun: Deep Learning Made Easier by Linear Transformations in Perceptrons. Journal of Machine Learning Research - Proceedings Track 22: 924-932 (2012)

Arthur Szlam, Karol Gregor, Yann LeCun: Fast Approximations to Structured Sparse Coding and Applications to Object Classification. ECCV (5) 2012: 200-213

José Manuel Álvarez, Theo Gevers, Yann LeCun, Antonio M. López: Road Scene Segmentation from a Single Image. ECCV (7) 2012: 376-389

Yann LeCun: Learning Invariant Feature Hierarchies. ECCV Workshops (1) 2012: 496-505

José Manuel Álvarez, Yann LeCun, Theo Gevers, Antonio M. López: Semantic Road Segmentation via Multi-scale Ensembles of Learned Features. ECCV Workshops (2) 2012: 586-595

Clément Farabet, Camille Couprie, Laurent Najman, Yann LeCun: Scene parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers. ICML 2012

Pierre Sermanet, Soumith Chintala, Yann LeCun: Convolutional neural networks applied to house numbers digit classification. ICPR 2012: 3288-3291

Eric J. Humphrey, Juan Pablo Bello, Yann LeCun: Moving Beyond Feature Design: Deep Architectures and Automatic Feature Learning in Music Informatics. ISMIR 2012: 403-408

Clément Farabet, Camille Couprie, Laurent Najman, Yann LeCun: Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers. CoRR abs/1202.2160 (2012)

Arthur Szlam, Karol Gregor, Yann LeCun: Fast approximations to structured sparse coding and applications to object classification. CoRR abs/1202.6384 (2012)

Pierre Sermanet, Soumith Chintala, Yann LeCun: Convolutional Neural Networks Applied to House Numbers Digit Classification. CoRR abs/1204.3968 (2012)

Tom Schaul, Sixin Zhang, Yann LeCun: No More Pesky Learning Rates. CoRR abs/1206.1106 (2012)

Pierre Sermanet, Koray Kavukcuoglu, Soumith Chintala, Yann LeCun: Pedestrian Detection with Unsupervised Multi-Stage Feature Learning. CoRR abs/1212.0142 (2012)

Juan Pablo Bello, Yann LeCun, Robert Rowe: Concerto for violin and Markov model: technical perspective. Commun. ACM 54(3): 86 (2011)

Polina Akselrod, Faye Zhao, Ifigeneia Derekli, Clément Farabet, Berin Martini, Yann LeCun, Eugenio Culurciello: Hardware accelerated visual attention algorithm. CISS 2011: 1-6

Y-Lan Boureau, Nicolas Le Roux, Francis Bach, Jean Ponce, Yann LeCun: Ask the locals: Multi-way local pooling for image recognition. ICCV 2011: 2651-2658

Pierre Sermanet, Yann LeCun: Traffic sign recognition with multi-scale Convolutional Networks. IJCNN 2011: 2809-2813

Mikael Henaff, Kevin Jarrett, Koray Kavukcuoglu, Yann LeCun: Unsupervised Learning of Sparse Features for Scalable Audio Classification. ISMIR 2011: 681-686

Arthur Szlam, Karol Gregor, Yann LeCun: Structured sparse coding via lateral inhibition. NIPS 2011: 1116-1124

Karol Gregor, Yann LeCun: Efficient Learning of Sparse Invariant Representations. CoRR abs/1105.5307 (2011)

Karol Gregor, Yann LeCun: Learning Representations by Maximizing Compression. CoRR abs/1108.1169 (2011)

Y-Lan Boureau, Francis Bach, Yann LeCun, Jean Ponce: Learning mid-level features for recognition. CVPR 2010: 2559-2566

Graham W. Taylor, Rob Fergus, Yann LeCun, Christoph Bregler: Convolutional Learning of Spatio-temporal Features. ECCV (6) 2010: 140-153

Y-Lan Boureau, Jean Ponce, Yann LeCun: A Theoretical Analysis of Feature Pooling in Visual Recognition. ICML 2010: 111-118

Karol Gregor, Yann LeCun: Learning Fast Approximations of Sparse Coding. ICML 2010: 399-406

Matthew Koichi Grimes, Dragomir Anguelov, Yann LeCun: Hybrid hessians for flexible optimization of pose graphs. IROS 2010: 2997-3004

Yann LeCun, Koray Kavukcuoglu, Clément Farabet: Convolutional networks and applications in vision. ISCAS 2010: 253-256

Clément Farabet, Berin Martini, Polina Akselrod, Selçuk Talay, Yann LeCun, Eugenio Culurciello: Hardware accelerated convolutional neural networks for synthetic vision systems. ISCAS 2010: 257-260

Koray Kavukcuoglu, Pierre Sermanet, Y-Lan Boureau, Karol Gregor, Michaël Mathieu, Yann LeCun: Learning Convolutional Feature Hierarchies for Visual Recognition. NIPS 2010: 1090-1098

Diederik P. Kingma, Yann LeCun: Regularized estimation of image statistics by Score Matching. NIPS 2010: 1126-1134

Karol Gregor, Yann LeCun: Emergence of Complex-Like Cells in a Temporal Product Network with Local Receptive Fields. CoRR abs/1006.0448 (2010)

Arthur Szlam, Koray Kavukcuoglu, Yann LeCun: Convolutional Matching Pursuit and Dictionary Training. CoRR abs/1010.0422 (2010)

Koray Kavukcuoglu, Marc'Aurelio Ranzato, Yann LeCun: Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition. CoRR abs/1010.3467 (2010)

Pierre Sermanet, Raia Hadsell, Marco Scoffier, Matthew Grimes, Jan Ben, Ayse Erkan, Chris Crudele, Urs Miller, Yann LeCun: A multirange architecture for collision-free off-road robot navigation. J. Field Robotics 26(1): 52-87 (2009)

Raia Hadsell, Pierre Sermanet, Jan Ben, Ayse Erkan, Marco Scoffier, Koray Kavukcuoglu, Urs Muller, Yann LeCun: Learning long-range vision for autonomous off-road driving. J. Field Robotics 26(2): 120-144 (2009)

Koray Kavukcuoglu, Marc'Aurelio Ranzato, Rob Fergus, Yann LeCun: Learning invariant features through topographic filter maps. CVPR 2009: 1605-1612

Clément Farabet, Cyril Poulet, Jefferson Y. Han, Yann LeCun: CNP: An FPGA-based processor for Convolutional Networks. FPL 2009: 32-37

Kevin Jarrett, Koray Kavukcuoglu, Marc'Aurelio Ranzato, Yann LeCun: What is the best multi-stage architecture for object recognition? ICCV 2009: 2146-2153

Kay Yu, Ruslan Salakhutdinov, Yann LeCun, Geoffrey E. Hinton, Yoshua Bengio: Workshop summary: Workshop on learning feature hierarchies. ICML 2009: 165

Matthew Grimes, Yann LeCun: Efficient off-road localization using visually corrected odometry. ICRA 2009: 2649-2654

Pierre Sermanet, Koray Kavukcuoglu, Yann LeCun: EBLearn: Open-Source Energy-Based Learning in C++. ICTAI 2009: 693-697

Piotr W. Mirowski, Yann LeCun: Dynamic Factor Graphs for Time Series Modeling. ECML/PKDD (2) 2009: 128-143

Andrew W. Fitzgibbon, Camillo J. Taylor, Yann LeCun: Editorial. International Journal of Computer Vision 80(1): 1-2 (2008)

Raia Hadsell, Ayse Erkan, Pierre Sermanet, Marco Scoffier, Urs Muller, Yann LeCun: Deep belief net learning in a long-range vision system for autonomous off-road driving. IROS 2008: 628-633

Pierre Sermanet, Raia Hadsell, Marco Scoffier, Urs Muller, Yann LeCun: Mapping and planning under uncertainty in mobile robots with long-range perception. IROS 2008: 2525-2530

Marc'Aurelio Ranzato, Y-Lan Boureau, Sumit Chopra, Yann LeCun: A Unified Energy-Based Framework for Unsupervised Learning. Journal of Machine Learning Research - Proceedings Track 2: 371-379 (2007)

Margarita Osadchy, Yann LeCun, Matthew L. Miller: Synergistic Face Detection and Pose Estimation with Energy-Based Models. Journal of Machine Learning Research 8: 1197-1215 (2007)

Sören Sonnenburg, Mikio L. Braun, Cheng Soon Ong, Samy Bengio, Léon Bottou, Geoffrey Holmes, Yann LeCun, Klaus-Robert Müller, Fernando Pereira, Carl Edward Rasmussen, Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, Pascal Vincent, Jason Weston, Robert C. Williamson: The Need for Open Source Software in Machine Learning. Journal of Machine Learning Research 8: 2443-2466 (2007)

Marc'Aurelio Ranzato, P. E. Taylor, J. M. House, R. C. Flagan, Yann LeCun, Pietro Perona: Automatic recognition of biological particles in microscopic images. Pattern Recognition Letters 28(1): 31-39 (2007)

Piotr W. Mirowski, Deepak Madhavan, Yann LeCun: Time-Delay Neural Networks and Independent Component Analysis for EEG-Based Prediction of Epileptic Seizures Propagation. AAAI 2007: 1892-1893

Marc'Aurelio Ranzato, Fu Jie Huang, Y-Lan Boureau, Yann LeCun: Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition. CVPR 2007

Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu Jie Huang: Energy-Based Models in Document Recognition and Computer Vision. ICDAR 2007: 337-341

Marc'Aurelio Ranzato, Yann LeCun: A Sparse and Locally Shift Invariant Feature Extractor Applied to Document Images. ICDAR 2007: 1213-1217

Ayse Erkan, Raia Hadsell, Pierre Sermanet, Jan Ben, Urs Muller, Yann LeCun: Adaptive long range vision in unstructured terrain. IROS 2007: 2421-2426

Sumit Chopra, Trivikraman Thampy, John Leahy, Andrew Caplin, Yann LeCun: Discovering the hidden structure of house prices with a non-parametric latent manifold model. KDD 2007: 173-182

Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun: Sparse Feature Learning for Deep Belief Networks. NIPS 2007

Raia Hadsell, Pierre Sermanet, Jan Ben, Ayse Erkan, Jeff Han, Urs Muller, Yann LeCun: Online Learning for Offroad Robots: Spatial Label Propagation to Learn Long-Range Traversability. Robotics: Science and Systems 2007

Margarita Osadchy, Yann LeCun, Matthew L. Miller: Synergistic Face Detection and Pose Estimation with Energy-Based Models. Toward Category-Level Object Recognition 2006: 196-206

Fu Jie Huang, Yann LeCun: Large-scale Learning with SVM and Convolutional for Generic Object Categorization. CVPR (1) 2006: 284-291

Raia Hadsell, Sumit Chopra, Yann LeCun: Dimensionality Reduction by Learning an Invariant Mapping. CVPR (2) 2006: 1735-1742

Marc'Aurelio Ranzato, Christopher S. Poultney, Sumit Chopra, Yann LeCun: Efficient Learning of Sparse Representations with an Energy-Based Model. NIPS 2006: 1137-1144

F. Ning, D. Delhomme, Yann LeCun, F. Piano, Léon Bottou, Paolo Emilio Barbano: Toward Automatic Phenotyping of Developing Embryos From Videos. IEEE Transactions on Image Processing 14(9): 1360-1371 (2005)

Sumit Chopra, Raia Hadsell, Yann LeCun: Learning a Similarity Metric Discriminatively, with Application to Face Verification. CVPR (1) 2005: 539-546

Yann LeCun, Urs Muller, Jan Ben, Eric Cosatto, Beat Flepp: Off-Road Obstacle Avoidance through End-to-End Learning. NIPS 2005

Yann LeCun, Fu Jie Huang, Léon Bottou: Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting. CVPR (2) 2004: 97-104

Margarita Osadchy, Matthew L. Miller, Yann LeCun: Synergistic Face Detection and Pose Estimation with Energy-Based Models. NIPS 2004

Léon Bottou, Yann LeCun: Large Scale Online Learning. NIPS 2003

Lawrence K. Saul, Daniel D. Lee, Charles L. Isbell, Yann LeCun: Real Time Voice Processing with Audiovisual Feedback: Toward Autonomous Agents with Perfect Pitch. NIPS 2002: 1181-1188

Léon Bottou, Patrick Haffner, Yann LeCun: Efficient Conversion of Digital Documents to Multilayer Raster Formats. ICDAR 2001: 444-

Patrick Haffner, Léon Bottou, Paul G. Howard, Yann LeCun: DjVu: Analyzing and Compressing Scanned Documents for Internet Distribution. ICDAR 1999: 625-628

Patrick Haffner, Yann LeCun, Léon Bottou, Paul G. Howard, Pascal Vincent, Bill Riemers: Color Documents on the Web with DJVU. ICIP (1) 1999: 239-243

Yann LeCun, Patrick Haffner, Léon Bottou, Yoshua Bengio: Object Recognition with Gradient-Based Learning. Shape, Contour and Grouping in Computer Vision 1999: 319-

Léon Bottou, Patrick Haffner, Paul G. Howard, Patrice Simard, Yoshua Bengio, Yann LeCun: High quality document image compression with "DjVu". J. Electronic Imaging 7(3): 410-425 (1998)

Barry G. Haskell, Paul G. Howard, Yann LeCun, Atul Puri, Jörn Ostermann, M. Reha Civanlar, Lawrence Rabiner, Léon Bottou, Patrick Haffner: Image and video coding-emerging standards and beyond. IEEE Trans. Circuits Syst. Video Techn. 8(7): 814-837 (1998)

Rama Chellappa, Kunihiko Fukushima, Aggelos K. Katsaggelos, Sun-Yuan Kung, Yann LeCun, Nasser M. Nasrabadi, Tomaso Poggio: Guest Editorial Applications Of Artificial Neural Networks To Image Processing. IEEE Transactions on Image Processing 7(8): 1093-1096 (1998)

Patrick Haffner, Léon Bottou, Paul G. Howard, Patrice Simard, Yoshua Bengio, Yann LeCun: Browsing through High Quality Document Images with DjVu. ADL 1998: 309-318

Patrice Simard, Léon Bottou, Patrick Haffner, Yann LeCun: Boxlets: A Fast Convolution Algorithm for Signal Processing and Neural Networks. NIPS 1998: 571-577

Léon Bottou, Yoshua Bengio, Yann LeCun: Global Training of Document Processing Systems Using Graph Transformer Networks. CVPR 1997: 489-494

Richard V. Cox, Barry G. Haskell, Yann LeCun, Behzad Shahraray, Lawrence Rabiner: On the Applications of Multimedia Processing to Telecommunications. ICIP (1) 1997: 5-8

Mazin Rahim, Yoshua Bengio, Yann LeCun: Discriminative feature and model design for automatic speech recognition. EUROSPEECH 1997

Yann LeCun, Léon Bottou, Genevieve B. Orr, Klaus-Robert Müller: Effiicient BackProp. Neural Networks: Tricks of the Trade 1996: 9-50

Patrice Simard, Yann LeCun, John S. Denker, Bernard Victorri: Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation. Neural Networks: Tricks of the Trade 1996: 239-27

Yoshua Bengio, Yann LeCun, Craig R. Nohl, Christopher J. C. Burges: LeRec: a NN/HMM hybrid for on-line handwriting recognition. Neural Computation 7(6): 1289-1303 (1995)

Vladimir Vapnik, Esther Levin, Yann LeCun: Measuring the VC-Dimension of a Learning Machine. Neural Computation 6(5): 851-876 (1994)

Harris Drucker, Corinna Cortes, Lawrence D. Jackel, Yann LeCun, Vladimir Vapnik: Boosting and Other Ensemble Methods. Neural Computation 6(6): 1289-1301 (1994)

Harris Drucker, Corinna Cortes, Lawrence D. Jackel, Yann LeCun, Vladimir Vapnik: Boosting and Other Machine Learning Algorithms. ICML 1994: 53-61

Jane Bromley, James W. Bentz, Léon Bottou, Isabelle Guyon, Yann LeCun, Cliff Moore, Eduard Säckinger, Roopak Shah: Signature Verification Using A "Siamese" Time Delay Neural Network. IJPRAI 7(4): 669-688 (1993)

Christopher J. C. Burges, Jan Ben, John S. Denker, Yann LeCun, Craig R. Nohl: Off Line Recognition of Handwritten Postal Words Using Neural Networks. IJPRAI 7(4): 689-704 (1993)

Quen-Zong Wu, Yann LeCun, Lawrence D. Jackel, Bor-Shenn Jeng: On-line recognition of limited-vocabulary Chinese character using multiple convolutional neural networks. ISCAS 1993: 2435-2438

Jane Bromley, Isabelle Guyon, Yann LeCun, Eduard Säckinger, Roopak Shah: Signature Verification Using a Siamese Time Delay Neural Network. NIPS 1993: 737-744

Yoshua Bengio, Yann LeCun, Donnie Henderson: Globally Trained Handwritten Word Recognizer Using Spatial Representation, Convolutional Neural Networks, and Hidden Markov Models. NIPS 1993: 937-944

Ofer Matan, Henry S. Baird, Jane Bromley, Christopher J. C. Burges, John S. Denker, Lawrence D. Jackel, Yann LeCun, Edwin P. D. Pednault, William Satterfield, Charles E. Stenard, Timothy J. Thompson: Reading Handwritten Digits: A ZIP Code Recognition System. IEEE Computer 25(7): 59-63 (1992)

Patrice Simard, Yann LeCun, John S. Denker: Efficient Pattern Recognition Using a New Transformation Distance. NIPS 1992: 50-58

Yann LeCun, Patrice Simard, Barak A. Pearlmutter: Automatic Learning Rate Maximization in Large Adaptive Machines. NIPS 1992: 156-163

Isabelle Guyon, P. Albrecht, Yann LeCun, John S. Denker, Wayne E. Hubbard: Design of a neural network character recognizer for a touch terminal. Pattern Recognition 24(2): 105-119 (1991)

Ofer Matan, Christopher J. C. Burges, Yann LeCun, John S. Denker: Multi-Digit Recognition Using a Space Displacement Neural Network. NIPS 1991: 488-495

Patrice Simard, Yann LeCun: Reverse TDNN: An Architecture For Trajectory Generation. NIPS 1991: 579-588

Patrice Simard, Bernard Victorri, Yann LeCun, John S. Denker: Tangent Prop - A Formalism for Specifying Selected Invariances in an Adaptive Network. NIPS 1991: 895-903

John S. Denker, Yann LeCun: Transforming Neural-Net Output Levels to Probability Distributions. NIPS 1990: 853-859

Yann LeCun, Ido Kanter, Sara A. Solla: Second Order Properties of Error Surfaces. NIPS 1990: 918-924

Yann LeCun, Bernhard E. Boser, John S. Denker, Donnie Henderson, R. E. Howard, Wayne E. Hubbard, Lawrence D. Jackel: Handwritten Digit Recognition with a Back-Propagation Network. NIPS 1989: 396-404

Yann LeCun, John S. Denker, Sara A. Solla: Optimal Brain Damage. NIPS 1989: 598-605

Yann LeCun, Conrad C. Galland, Geoffrey E. Hinton: GEMINI: Gradient Estimation Through Matrix Inversion After Noise Injection. NIPS 1988: 141-148