🧑‍🔬 Yann Lecun — all works

54 works · ← Yann Lecun

1. Character-level Convolutional Networks for Text ClassificationarXiv:1509.01626Xiang Zhang, Junbo Zhao, Yann LeCun2015 · 4,827 citations
2. Spectral Networks and Locally Connected Networks on Graphs ↗arXiv (Cornell University) · no summary yetJoan Bruna et al.2013 · 2,651 citations
3. What is the best multi-stage architecture for object recognition? ↗IEEE International Conference on Computer Vision (ICCV) · no summary yetKevin Jarrett et al.2009 · 2,157 citations
4. Convolutional networks and applications in vision ↗no summary yetYann LeCun, Koray Kavukcuoglu, Clément Farabet2010 · 2,150 citations
5. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks ↗arXiv:1312.6229 · no summary yetPierre Sermanet et al.2013 · 1,423 citations
6. Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation ↗arXiv (Cornell University) · no summary yetEmily Denton et al.2014 · 1,388 citations
7. Efficient object localization using Convolutional Networks ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJonathan Tompson et al.2015 · 1,361 citations
8. Very Deep Convolutional Networks for Text ClassificationConference of the European Chapter of the Association for Computational Linguistics (EACL)Alexis Conneau, Holger Schwenk, Loïc Barrault, et al.2017 · 1,094 citations
9. MDETR - Modulated Detection for End-to-End Multi-Modal Understanding ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetAishwarya Kamath et al.2021 · 819 citations
10. Computing the stereo matching cost with a convolutional neural network ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJure Žbontar, Yann LeCun2015 · 812 citations
11. Pedestrian Detection with Unsupervised Multi-stage Feature Learning ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetPierre Sermanet et al.2013 · 759 citations
12. Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture ↗arXiv:2301.08243 · no summary yetMahmoud Assran et al.2023 · 492 citations
13. Learning Convolutional Feature Hierarchies for Visual Recognition ↗no summary yetKoray Kavukcuoglu et al.2010 · 487 citations
14. Augmented Language Models: a SurveyarXiv:2302.07842Grégoire Mialon, Roberto Dessì, Maria Lomeli, et al.2023 · 369 citations
15. Convolutional Neural Networks Applied to House Numbers Digit Classification ↗arXiv (Cornell University) · no summary yetPierre Sermanet, Soumith Chintala, Yann LeCun2012 · 337 citations
16. Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionShengbang Tong, Zhuang Liu, Yuexiang Zhai, et al.2024 · 321 citations
17. Learning long‐range vision for autonomous off‐road driving ↗Journal of Field Robotics · no summary yetRaia T. Hadsell et al.2009 · 320 citations
18. Learning invariant features through topographic filter maps ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetKoray Kavukcuoglu et al.2009 · 281 citations
19. Fast Convolutional Nets With fbfft: A GPU Performance Evaluation ↗arXiv (Cornell University) · no summary yetNicolas Vasilache et al.2014 · 271 citations
20. Very Deep Convolutional Networks for Natural Language Processing. ↗arXiv (Cornell University) · no summary yetAlexis Conneau et al.2016 · 263 citations
21. G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question AnsweringConference on Neural Information Processing Systems (NeurIPS)Xiaoxin He, Yijun Tian, Yifei Sun, et al.2024 · 236 citations
22. GAIA: a benchmark for General AI AssistantsarXiv:2311.12983Gregoire Mialon, Clementine Fourrier, Craig Swift, et al.2023 · 232 citations
23. Tracking the World State with Recurrent Entity Networks ↗arXiv:1612.03969 · ICLR 2017 · no summary yetMikael Henaff et al.2016 · 228 citations
24. Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition ↗arXiv (Cornell University) · no summary yetKoray Kavukcuoglu, Marc’Aurelio Ranzato, Yann LeCun2010 · 190 citations
25. Transformers without Normalization ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJiachen Zhu et al.2025 · 179 citations
26. Large-Scale FPGA-Based Convolutional Networks ↗Cambridge University Press eBooks · no summary yetClément Farabet et al.2011 · 128 citations
27. Unsupervised Learning Of Sparse Features For Scalable Audio Classification. ↗no summary yetMikael Henaff et al.2011 · 111 citations
28. A Mathematical Motivation for Complex-Valued Convolutional Networks ↗Neural Computation · no summary yetMark Tygert et al.2016 · 87 citations
29. Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning ↗arXiv:2305.19523 · no summary yetXiaoxin He et al.2023 · 75 citations
30. Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning ↗neural information processing systems · no summary yetYuexiang Zhai et al.2024 · 65 citations
31. Layer by Layer: Uncovering Hidden Representations in Language Models ↗arXiv:2502.02013 · no summary yetOscar Skean et al.2025 · 64 citations
32. Navigation World Models ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAmir Bar et al.2025 · 61 citations
33. Adversarially Regularized Autoencoders for Generating Discrete Structures. ↗arXiv (Cornell University) · no summary yetJunbo Zhao et al.2017 · 52 citations
34. MetaMorph: Multimodal Understanding and Generation via Instruction Tuning ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetShengbang Tong et al.2025 · 47 citations
35. GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations ↗arXiv (Cornell University) · no summary yetZhilin Yang et al.2018 · 34 citations
36. Convolutional Matching Pursuit and Dictionary Training ↗arXiv (Cornell University) · no summary yetArthur D. Szlam, Koray Kavukcuoglu, Yann LeCun2010 · 27 citations
37. EBLearn: Open-Source Energy-Based Learning in C++ ↗Proceedings - International Conference on Tools with Artificial Intelligence, TAI · no summary yetPierre Serman, Koray Kavukcuoglu, Yann LeCun2009 · 27 citations
38. GLoMo: Unsupervised Learning of Transferable Relational Graphs ↗neural information processing systems · no summary yetZhilin Yang et al.2018 · 21 citations
39. A multi-range vision strategy for autonomous offroad navigation ↗Robotics and Applications · no summary yetRaia T. Hadsell et al.2007 · 13 citations
40. Cambrian-S: Towards Spatial Supersensing in Video ↗arXiv (Cornell University) · no summary yetShusheng Yang et al.2025 · 11 citations
41. Scaling Text-to-Image Diffusion Transformers with Representation Autoencoders ↗arXiv (Cornell University) · no summary yetShengbang Tong et al.2026 · 9 citations
42. Whole-Body Conditioned Egocentric Video Prediction ↗neural information processing systems · no summary yetYutong Bai et al.2025 · 8 citations
43. Beyond Language Modeling: An Exploration of Multimodal Pretraining ↗arXiv (Cornell University) · no summary yetShengbang Tong et al.2026 · 6 citations
44. Learning with Reflective Likelihoods ↗no summary yetAdji Bousso Dieng et al.2018 · 6 citations
45. Joint Embedding Predictive Architectures Focus on Slow Features ↗arXiv (Cornell University) · no summary yetVlad Sobal et al.2022 · 5 citations
46. Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models ↗arXiv (Cornell University) · no summary yetVlad Sobal et al.2025 · 3 citations
47. EgoPet: Egomotion and Interaction Data from an Animal’s Perspective ↗Lecture notes in computer science · no summary yetAmir Bar et al.2024 · 3 citations
48. A theoretical argument for complex-valued convolutional networks ↗arXiv (Cornell University) · no summary yetJoan Bruna et al.2015 · 3 citations
49. Separating the World and Ego Models for Self-Driving ↗arXiv (Cornell University) · no summary yetVlad Sobal et al.2022 · 2 citations
50. Learning feature hierarchies for object recognition ↗no summary yetYann LeCun, Koray Kavukcuoglu2010 · 2 citations
51. AI+HW 2035: Shaping the Next Decade ↗arXiv (Cornell University) · no summary yetDeming Chen et al.2026 · 1 citation
52. From Generated Human Videos to Physically Plausible Robot Trajectories ↗arXiv (Cornell University) · no summary yetNi, James et al.2025 · 1 citation
53. X-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs ↗arXiv (Cornell University) · no summary yetVlad Sobal et al.2024
54. Stochastic positional embeddings improve masked image modeling ↗arXiv (Cornell University) · no summary yetAmir Bar et al.2023

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/yann-lecun/works/