Yann LeCun
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
126
Venues
27
Active years
1990–2026
Best venue rank
A*
Where they publish
- A*ICML23 papers
- A*CVPR21 papers
- A*ICLR17 papers
- A*ECCV9 papers
- A*ICCV8 papers
- BICPR7 papers
- MulticonferenceICASSP5 papers
- AIROS4 papers
- AICDAR4 papers
- AAISTATS3 papers
- A*AAAI3 papers
- BICIP3 papers
- CISCAS3 papers
- A*ACL2 papers
- BIJCNN2 papers
- A*EMNLP1 paper
- AWACV1 paper
- AEACL1 paper
- A*COLT1 paper
- BACCV1 paper
- BICONIP1 paper
- NationalCISS1 paper
- BFPL1 paper
- A*ICRA1 paper
- BICTAI1 paper
- A*KDD1 paper
- AInterspeech1 paper
Papers
126 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | SpidR-Adapt: A Universal Speech Representation Model for Few-Shot Adaptation. | Mahi Luthra, Jiayi Shen, Maxime Poli, Angelo Ortiz Tandazo, Yosuke Higuchi, Youssef Benchekroun, Martin Gleize, Charles-ric Saint-James, Dongyan Lin, Phillip Rust, Angel Villar-Corrales, Surya Parimi, Vanessa Stark, Rashel Moritz, Juan Pino, Yann LeCun, Emmanuel Dupoux |
| 2025 | ACL | Forgotten Polygons: Multimodal Large Language Models are Shape-Blind. | William Rudman, Michal Golovanevsky, Amir Bar, Vedant Palit, Yann LeCun, Carsten Eickhoff, Ritambhara Singh |
| 2025 | AISTATS | Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization. | Deep Chakraborty, Yann LeCun, Tim G. J. Rudner, Erik G. Learned-Miller |
| 2025 | CVPR | Transformers without Normalization. | Jiachen Zhu, Xinlei Chen, Kaiming He, Yann LeCun, Zhuang Liu |
| 2025 | CVPR | Navigation World Models. | Amir Bar, Gaoyue Zhou, Danny Tran, Trevor Darrell, Yann LeCun |
| 2025 | CVPR | RoboPEPP: Vision-Based Robot Pose and Joint Angle Estimation through Embedding Predictive Pre-Training. | Raktim Gautam Goswami, Prashanth Krishnamurthy, Yann LeCun, Farshad Khorrami |
| 2025 | CVPR | Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation. | Tal Zeevi, Ravid Shwartz-Ziv, Yann LeCun, Lawrence H. Staib, John A. Onofrey |
| 2025 | EMNLP | Training compute-optimal transformer encoder models. | Megi Dervishi, Alexandre Allauzen, Gabriel Synnaeve, Yann LeCun |
| 2025 | ICCV | Scaling Language-Free Visual Representation Learning. | David Fan, Shengbang Tong, Jiachen Zhu, Koustuv Sinha, Zhuang Liu, Xinlei Chen, Michael Rabbat, Nicolas Ballas, Yann LeCun, Amir Bar, Saining Xie |
| 2025 | ICCV | MetaMorph: Multimodal Understanding and Generation via Instruction Tuning. | Shengbang Tong, David Fan, Jiachen Zhu, Yunyang Xiong, Xinlei Chen, Koustuv Sinha, Michael Rabbat, Yann LeCun, Saining Xie, Zhuang Liu |
| 2025 | ICLR | Hierarchical World Models as Visual Whole-Body Humanoid Controllers. | Nicklas Hansen, Jyothir S. V, Vlad Sobal, Yann LeCun, Xiaolong Wang, Hao Su |
| 2025 | ICLR | Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning. | Md Rifat Arefin, Gopeshh Subbaraj, Nicolas Gontier, Yann LeCun, Irina Rish, Ravid Shwartz-Ziv, Christopher Pal |
| 2025 | ICLR | X-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs. | Vlad Sobal, Mark Ibrahim, Randall Balestriero, Vivien Cabannes, Diane Bouchacourt, Pietro Astolfi, Kyunghyun Cho, Yann LeCun |
| 2025 | ICLR | PooDLe🐩: Pooled and dense self-supervised learning from naturalistic videos. | Alex N. Wang, Christopher Hoang, Yuwen Xiong, Yann LeCun, Mengye Ren |
| 2025 | ICLR | LiveBench: A Challenging, Contamination-Limited LLM Benchmark. | Colin White, Samuel Dooley, Manley Roberts, Arka Pal, Benjamin Feuer, Siddhartha Jain, Ravid Shwartz-Ziv, Neel Jain, Khalid Saifullah, Sreemanti Dey, Shubh-Agrawal, Sandeep Singh Sandha, Siddartha V. Naidu, Chinmay Hegde, Yann LeCun, Tom Goldstein, Willie Neiswanger, Micah Goldblum |
| 2025 | ICLR | URLOST: Unsupervised Representation Learning without Stationarity or Topology. | Zeyu Yun, Juexiao Zhang, Yann LeCun, Yubei Chen |
| 2025 | ICML | Layer by Layer: Uncovering Hidden Representations in Language Models. | Oscar Skean, Md Rifat Arefin, Dan Zhao, Niket Patel, Jalal Naghiyev, Yann LeCun, Ravid Shwartz-Ziv |
| 2025 | ICML | DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning. | Gaoyue Zhou, Hengkai Pan, Yann LeCun, Lerrel Pinto |
| 2024 | CVPR | Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs. | Shengbang Tong, Zhuang Liu, Yuexiang Zhai, Yi Ma, Yann LeCun, Saining Xie |
| 2024 | ECCV | EgoPet: Egomotion and Interaction Data from an Animal's Perspective. | Amir Bar, Arya Bakhtiar, Danny Tran, Antonio Loquercio, Jathushan Rajasegaran, Yann LeCun, Amir Globerson, Trevor Darrell |
| 2024 | ICLR | Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning. | Xiaoxin He, Xavier Bresson, Thomas Laurent, Adam Perold, Yann LeCun, Bryan Hooi |
| 2024 | ICLR | GAIA: a benchmark for General AI Assistants. | Grgoire Mialon, Clmentine Fourrier, Thomas Wolf, Yann LeCun, Thomas Scialom |
| 2024 | ICML | How Learning by Reconstruction Produces Uninformative Features For Perception. | Randall Balestriero, Yann LeCun |
| 2024 | ICML | Stochastic positional embeddings improve masked image modeling. | Amir Bar, Florian Bordes, Assaf Shocher, Mido Assran, Pascal Vincent, Nicolas Ballas, Trevor Darrell, Amir Globerson, Yann LeCun |
| 2024 | ICML | The Entropy Enigma: Success and Failure of Entropy Minimization. | Ori Press, Ravid Shwartz-Ziv, Yann LeCun, Matthias Bethge |
| 2023 | CVPR | Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture. | Mahmoud Assran, Quentin Duval, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Yann LeCun, Nicolas Ballas |
| 2023 | CVPR | Adapting Grounded Visual Question Answering Models to Low Resource Languages. | Ying Wang, Jonas Pfeiffer, Nicolas Carion, Yann LeCun, Aishwarya Kamath |
| 2023 | ICASSP | Fast and Exact Enumeration of Deep Networks Partitions Regions. | Randall Balestriero, Yann LeCun |
| 2023 | ICASSP | Police: Provably Optimal Linear Constraint Enforcement For Deep Neural Networks. | Randall Balestriero, Yann LeCun |
| 2023 | ICCV | Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need. | Vivien Cabannes, Lon Bottou, Yann LeCun, Randall Balestriero |
| 2023 | ICLR | Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform. | Yubei Chen, Zeyu Yun, Yi Ma, Bruno A. Olshausen, Yann LeCun |
| 2023 | ICLR | On the duality between contrastive and non-contrastive self-supervised learning. | Quentin Garrido, Yubei Chen, Adrien Bardes, Laurent Najman, Yann LeCun |
| 2023 | ICML | The SSL Interplay: Augmentations, Inductive Bias, and Generalization. | Vivien Cabannes, Bobak Toussi Kiani, Randall Balestriero, Yann LeCun, Alberto Bietti |
| 2023 | ICML | RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank. | Quentin Garrido, Randall Balestriero, Laurent Najman, Yann LeCun |
| 2023 | ICML | Self-supervised learning of Split Invariant Equivariant representations. | Quentin Garrido, Laurent Najman, Yann LeCun |
| 2023 | ICML | A Generalization of ViT/MLP-Mixer to Graphs. | Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson |
| 2023 | WACV | Compact and Optimal Deep Learning with Recurrent Parameter Generators. | Jiayun Wang, Yubei Chen, Stella X. Yu, Brian Cheung, Yann LeCun |
| 2022 | ECCV | Decoupled Contrastive Learning. | Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu, Yubei Chen, Yann LeCun |
| 2022 | ICLR | VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning. | Adrien Bardes, Jean Ponce, Yann LeCun |
| 2022 | ICLR | Understanding Dimensional Collapse in Contrastive Self-supervised Learning. | Li Jing, Pascal Vincent, Yann LeCun, Yuandong Tian |
| 2021 | ICCV | MDETR - Modulated Detection for End-to-End Multi-Modal Understanding. | Aishwarya Kamath, Mannat Singh, Yann LeCun, Gabriel Synnaeve, Ishan Misra, Nicolas Carion |
| 2021 | ICML | Barlow Twins: Self-Supervised Learning via Redundancy Reduction. | Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, Stphane Deny |
| 2019 | CVPR | Unsupervised Image Matching and Object Discovery as Optimization. | Huy V. Vo, Francis R. Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Prez, Jean Ponce |
| 2019 | ICLR | Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic. | Mikael Henaff, Alfredo Canziani, Yann LeCun |
| 2019 | ICLR | The role of over-parametrization in generalization of neural networks. | Behnam Neyshabur, Zhiyuan Li, Srinadh Bhojanapalli, Yann LeCun, Nathan Srebro |
| 2018 | CVPR | A Closer Look at Spatiotemporal Convolutions for Action Recognition. | Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, Manohar Paluri |
| 2018 | ECCV | Predicting Future Instance Segmentation by Forecasting Convolutional Features. | Pauline Luc, Camille Couprie, Yann LeCun, Jakob Verbeek |
| 2018 | ECCV | DesIGN: Design Inspiration from Generative Networks. | Othman Sbai, Mohamed Elhoseiny, Antoine Bordes, Yann LeCun, Camille Couprie |
| 2018 | ICML | Comparing Dynamics: Deep Neural Networks versus Glassy Systems. | Marco Baity-Jesi, Levent Sagun, Mario Geiger, Stefano Spigler, Grard Ben Arous, Chiara Cammarota, Yann LeCun, Matthieu Wyart, Giulio Biroli |
| 2018 | ICML | Adversarially Regularized Autoencoders. | Junbo Jake Zhao, Yoon Kim, Kelly Zhang, Alexander M. Rush, Yann LeCun |
| 2017 | AAAI | Universum Prescription: Regularization Using Unlabeled Data. | Xiang Zhang, Yann LeCun |
| 2017 | EACL | Very Deep Convolutional Networks for Text Classification. | Alexis Conneau, Holger Schwenk, Loc Barrault, Yann LeCun |
| 2017 | ICCV | Predicting Deeper into the Future of Semantic Segmentation. | Pauline Luc, Natalia Neverova, Camille Couprie, Jakob Verbeek, Yann LeCun |
| 2017 | ICLR | Entropy-SGD: Biasing Gradient Descent Into Wide Valleys. | Pratik Chaudhari, Anna Choromanska, Stefano Soatto, Yann LeCun, Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Levent Sagun, Riccardo Zecchina |
| 2017 | ICLR | Tracking the World State with Recurrent Entity Networks. | Mikael Henaff, Jason Weston, Arthur Szlam, Antoine Bordes, Yann LeCun |
| 2017 | ICLR | Energy-based Generative Adversarial Networks. | Junbo Jake Zhao, Michal Mathieu, Yann LeCun |
| 2017 | ICML | Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs. | Li Jing, Yichen Shen, Tena Dubcek, John Peurifoy, Scott A. Skirlo, Yann LeCun, Max Tegmark, Marin Soljacic |
| 2016 | ICASSP | Very deep multilingual convolutional neural networks for LVCSR. | Tom Sercu, Christian Puhrsch, Brian Kingsbury, Yann LeCun |
| 2016 | ICML | Binary embeddings with structured hashed projections. | Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski, Tony Jebara, Sanjiv Kumar, Yann LeCun |
| 2016 | ICML | Recurrent Orthogonal Networks and Long-Memory Tasks. | Mikael Henaff, Arthur Szlam, Yann LeCun |
| 2015 | AISTATS | The Loss Surfaces of Multilayer Networks. | Anna Choromanska, Mikael Henaff, Michal Mathieu, Grard Ben Arous, Yann LeCun |
| 2015 | COLT | Open Problem: The landscape of the loss surfaces of multilayer networks. | Anna Choromanska, Yann LeCun, Grard Ben Arous |
| 2015 | CVPR | Efficient object localization using Convolutional Networks. | Jonathan Tompson, Ross Goroshin, Arjun Jain, Yann LeCun, Christoph Bregler |
| 2015 | CVPR | Computing the stereo matching cost with a convolutional neural network. | Jure Zbontar, Yann LeCun |
| 2015 | ICASSP | Source separation with scattering Non-Negative Matrix Factorization. | Joan Bruna, Pablo Sprechmann, Yann LeCun |
| 2015 | ICCV | Unsupervised Learning of Spatiotemporally Coherent Metrics. | Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun |
| 2014 | ACCV | MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation. | Arjun Jain, Jonathan Tompson, Yann LeCun, Christoph Bregler |
| 2014 | ICML | Signal recovery from Pooling Representations. | Joan Bruna Estrach, Arthur Szlam, Yann LeCun |
| 2013 | AAAI | Preface. | Marc Pickett, Benjamin Kuipers, Yann LeCun, Clayton T. Morrison |
| 2013 | CVPR | Pedestrian Detection with Unsupervised Multi-stage Feature Learning. | Pierre Sermanet, Koray Kavukcuoglu, Soumith Chintala, Yann LeCun |
| 2013 | ICIP | Causal graph-based video segmentation. | Camille Couprie, Clment Farabet, Yann LeCun, Laurent Najman |
| 2013 | ICML | No more pesky learning rates. | Tom Schaul, Sixin Zhang, Yann LeCun |
| 2013 | ICML | Regularization of Neural Networks using DropConnect. | Li Wan, Matthew D. Zeiler, Sixin Zhang, Yann LeCun, Rob Fergus |
| 2013 | ICONIP | Pushing Stochastic Gradient towards Second-Order Methods - Backpropagation Learning with Transformations in Nonlinearities. | Tommi Vatanen, Tapani Raiko, Harri Valpola, Yann LeCun |
| 2012 | ECCV | Road Scene Segmentation from a Single Image. | Jos M. lvarez, Theo Gevers, Yann LeCun, Antonio M. Lpez |
| 2012 | ECCV | Semantic Road Segmentation via Multi-scale Ensembles of Learned Features. | Jos M. lvarez, Yann LeCun, Theo Gevers, Antonio M. Lpez |
| 2012 | ECCV | Learning Invariant Feature Hierarchies. | Yann LeCun |
| 2012 | ECCV | Fast Approximations to Structured Sparse Coding and Applications to Object Classification. | Arthur Szlam, Karol Gregor, Yann LeCun |
| 2012 | ICML | Scene parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers. | Clment Farabet, Camille Couprie, Laurent Najman, Yann LeCun |
| 2012 | ICPR | Convolutional neural networks applied to house numbers digit classification. | Pierre Sermanet, Soumith Chintala, Yann LeCun |
| 2011 | CISS | Hardware accelerated visual attention algorithm. | Polina Akselrod, Faye Zhao, Ifigeneia Derekli, Clment Farabet, Berin Martini, Yann LeCun, Eugenio Culurciello |
| 2011 | CVPR | NeuFlow: A runtime reconfigurable dataflow processor for vision. | Clment Farabet, Berin Martini, B. Corda, Polina Akselrod, Eugenio Culurciello, Yann LeCun |
| 2011 | ICCV | Ask the locals: Multi-way local pooling for image recognition. | Y-Lan Boureau, Nicolas Le Roux, Francis R. Bach, Jean Ponce, Yann LeCun |
| 2011 | IJCNN | Traffic sign recognition with multi-scale Convolutional Networks. | Pierre Sermanet, Yann LeCun |
| 2010 | CVPR | Learning mid-level features for recognition. | Y-Lan Boureau, Francis R. Bach, Yann LeCun, Jean Ponce |
| 2010 | ECCV | Convolutional Learning of Spatio-temporal Features. | Graham W. Taylor, Rob Fergus, Yann LeCun, Christoph Bregler |
| 2010 | ICML | A Theoretical Analysis of Feature Pooling in Visual Recognition. | Y-Lan Boureau, Jean Ponce, Yann LeCun |
| 2010 | ICML | Learning Fast Approximations of Sparse Coding. | Karol Gregor, Yann LeCun |
| 2010 | IROS | Hybrid hessians for flexible optimization of pose graphs. | Matthew Koichi Grimes, Dragomir Anguelov, Yann LeCun |
| 2010 | ISCAS | Hardware accelerated convolutional neural networks for synthetic vision systems. | Clment Farabet, Berin Martini, Polina Akselrod, Seluk Talay, Yann LeCun, Eugenio Culurciello |
| 2010 | ISCAS | Convolutional networks and applications in vision. | Yann LeCun, Koray Kavukcuoglu, Clment Farabet |
| 2009 | CVPR | Learning invariant features through topographic filter maps. | Koray Kavukcuoglu, Marc'Aurelio Ranzato, Rob Fergus, Yann LeCun |
| 2009 | FPL | CNP: An FPGA-based processor for Convolutional Networks. | Clment Farabet, Cyril Poulet, Jefferson Y. Han, Yann LeCun |
| 2009 | ICCV | What is the best multi-stage architecture for object recognition? | Kevin Jarrett, Koray Kavukcuoglu, Marc'Aurelio Ranzato, Yann LeCun |
| 2009 | ICML | Workshop summary: Workshop on learning feature hierarchies. | Kai Yu, Ruslan Salakhutdinov, Yann LeCun, Geoffrey E. Hinton, Yoshua Bengio |
| 2009 | ICRA | Efficient off-road localization using visually corrected odometry. | Matthew Grimes, Yann LeCun |
| 2009 | ICTAI | EBLearn: Open-Source Energy-Based Learning in C++. | Pierre Sermanet, Koray Kavukcuoglu, Yann LeCun |
| 2008 | IROS | Deep belief net learning in a long-range vision system for autonomous off-road driving. | Raia Hadsell, Ayse Erkan, Pierre Sermanet, Marco Scoffier, Urs Muller, Yann LeCun |
| 2008 | IROS | Mapping and planning under uncertainty in mobile robots with long-range perception. | Pierre Sermanet, Raia Hadsell, Marco Scoffier, Urs Muller, Yann LeCun |
| 2007 | AAAI | Time-Delay Neural Networks and Independent Component Analysis for EEG-Based Prediction of Epileptic Seizures Propagation. | Piotr W. Mirowski, Deepak Madhavan, Yann LeCun |
| 2007 | CVPR | Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition. | Marc'Aurelio Ranzato, Fu Jie Huang, Y-Lan Boureau, Yann LeCun |
| 2007 | ICDAR | Energy-Based Models in Document Recognition and Computer Vision. | Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu Jie Huang |
| 2007 | ICDAR | A Sparse and Locally Shift Invariant Feature Extractor Applied to Document Images. | Marc'Aurelio Ranzato, Yann LeCun |
| 2007 | IROS | Adaptive long range vision in unstructured terrain. | Ayse Erkan, Raia Hadsell, Pierre Sermanet, Jan Ben, Urs Muller, Yann LeCun |
| 2007 | KDD | Discovering the hidden structure of house prices with a non-parametric latent manifold model. | Sumit Chopra, Trivikraman Thampy, John Leahy, Andrew Caplin, Yann LeCun |
| 2006 | CVPR | Dimensionality Reduction by Learning an Invariant Mapping. | Raia Hadsell, Sumit Chopra, Yann LeCun |
| 2006 | CVPR | Large-scale Learning with SVM and Convolutional for Generic Object Categorization. | Fu Jie Huang, Yann LeCun |
| 2005 | AISTATS | Loss Functions for Discriminative Training of Energy-Based Models. | Yann LeCun, Fu Jie Huang |
| 2005 | CVPR | Learning a Similarity Metric Discriminatively, with Application to Face Verification. | Sumit Chopra, Raia Hadsell, Yann LeCun |
| 2004 | CVPR | Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting. | Yann LeCun, Fu Jie Huang, Lon Bottou |
| 2001 | ICDAR | Efficient Conversion of Digital Documents to Multilayer Raster Formats. | Lon Bottou, Patrick Haffner, Yann LeCun |
| 1999 | ICDAR | DjVu: Analyzing and Compressing Scanned Documents for Internet Distribution. | Patrick Haffner, Lon Bottou, Paul G. Howard, Yann LeCun |
| 1999 | ICIP | Color Documents on the Web with DJVU. | Patrick Haffner, Yann LeCun, Lon Bottou, Paul G. Howard, Pascal Vincent, Bill Riemers |
| 1997 | CVPR | Global Training of Document Processing Systems Using Graph Transformer Networks. | Lon Bottou, Yoshua Bengio, Yann LeCun |
| 1997 | ICASSP | Reading checks with multilayer graph transformer networks. | Yann LeCun, Lon Bottou, Yoshua Bengio |
| 1997 | ICIP | On the Applications of Multimedia Processing to Telecommunications. | Richard V. Cox, Barry G. Haskell, Yann LeCun, Behzad Shahraray, Lawrence R. Rabiner |
| 1997 | Interspeech | Discriminative feature and model design for automatic speech recognition. | Mazin Rahim, Yoshua Bengio, Yann LeCun |
| 1994 | ICML | Boosting and Other Machine Learning Algorithms. | Harris Drucker, Corinna Cortes, Lawrence D. Jackel, Yann LeCun, Vladimir Vapnik |
| 1994 | ICPR | Word normalization for online handwritten word recognition. | Yoshua Bengio, Yann LeCun |
| 1994 | ICPR | Comparison of classifier methods: a case study in handwritten digit recognition. | Lon Bottou, Corinna Cortes, John S. Denker, Harris Drucker, Isabelle Guyon, Larry D. Jackel, Yann LeCun, Urs A. Mller, Eduard Sckinger, Patrice Y. Simard, Vladimir Vapnik |
| 1994 | ICPR | Word-level training of a handwritten word recognizer based on convolutional neural networks. | Yann LeCun, Yoshua Bengio |
| 1994 | ICPR | Memory-based character recognition using a transformation invariant metric. | Patrice Y. Simard, Yann LeCun, John S. Denker |
| 1993 | ISCAS | On-line recognition of limited-vocabulary Chinese character using multiple convolutional neural networks. | Quen-Zong Wu, Yann LeCun, Lawrence D. Jackel, Bor-Shenn Jeng |
| 1992 | ICPR | An efficient algorithm for learning invariance in adaptive classifiers. | Patrice Y. Simard, Yann LeCun, John S. Denker, Bernard Victorri |
| 1990 | ICPR | Handwritten zip code recognition with multilayer networks. | Yann LeCun, Ofer Matan, Bernhard E. Boser, John S. Denker, Don Henderson, Richard E. Howard, Wayne E. Hubbard, L. D. Jacket, Henry S. Baird |
| 1990 | IJCNN | Hardware requirements for neural-net optical character recognition. | Lawrence D. Jackel, Bernhard E. Boser, John S. Denker, Hans Peter Graf, Yann LeCun, Isabelle Guyon, Donnie Henderson, Richard E. Howard, Wayne E. Hubbard, Sara A. Solla |