| Orthogonal convolutional neural networks J Wang, Y Chen, R Chakraborty, SX Yu Conference on Computer Vision and Pattern Recognition (CVPR 2020), 2020 | 256 | 2020 |
| Decoupled contrastive learning CH Yeh, CY Hong, YC Hsu, TL Liu, Y Chen, Y LeCun European Conference on Computer Vision (ECCV 2022), 2022 | 243 | 2022 |
| Superposition of many models into one B Cheung, A Terekhov, Y Chen, P Agrawal, B Olshausen Advances in Neural Information Processing Systems (NeurIPS 2019), 2019 | 146 | 2019 |
| On the duality between contrastive and non-contrastive self-supervised learning Q Garrido, Y Chen, A Bardes, L Najman, Y Lecun International Conference on Learning Representations (ICLR 2023), 2022 | 112 | 2022 |
| The sparse manifold transform Y Chen, DM Paiton, BA Olshausen Advances in Neural Information Processing Systems 31 (NeurIPS 2018), 2018 | 69 | 2018 |
| Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors Z Yun*, Y Chen*, BA Olshausen, Y LeCun (NAACL 2021) Deep Learning Inside Out (DeeLIO) Workshop, 2021 | 64 | 2021 |
| Neural manifold clustering and embedding Z Li, Y Chen, Y LeCun, FT Sommer arXiv preprint arXiv:2201.10000, 2022 | 56 | 2022 |
| Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers Y Guo, X Wang, Y Chen, SX Yu Conference on Computer Vision and Pattern Recognition (CVPR 2022), 2022 | 56* | 2022 |
| Nonparametric statistical learning control of robot manipulators for trajectory or contour tracking C Wang, Y Zhao, Y Chen, M Tomizuka Robotics and Computer-Integrated Manufacturing 35, 96-103, 2015 | 50 | 2015 |
| 3D Shape Reconstruction from Free-Hand Sketches J Wang, J Lin, Q Yu, R Liu, Y Chen, SX Yu (ECCV 2022) Workshop on Drawings and abstract Imagery: Representation and …, 2020 | 48 | 2020 |
| Learning energy-based models in high-dimensional spaces with multiscale denoising-score matching Z Li, Y Chen, FT Sommer Entropy 25 (10), 1367, 2023 | 36* | 2023 |
| EMP-SSL: Towards self-supervised learning in one training epoch S Tong, Y Chen, Y Ma, Y Lecun arXiv preprint arXiv:2304.03977, 2023 | 30 | 2023 |
| Hermes: an integrated CPU/GPU microarchitecture for IP routing Y Zhu, Y Deng, Y Chen Proceedings of the 48th Design Automation Conference (DAC 2011), 2011 | 30 | 2011 |
| Orchestrating cache management and memory scheduling for GPGPU applications S Mu, Y Deng, Y Chen, H Li, J Pan, W Zhang, Z Wang IEEE Transactions on Very Large Scale Integration (VLSI) Systems 22 (8 …, 2013 | 29 | 2013 |
| Bag of Image Patch Embedding Behind the Success of Self-Supervised Learning Y Chen*, A Bardes*, Z Li, Y LeCun Transactions on Machine Learning Research (TMLR 11/2023), 2023 | 22* | 2023 |
| Providing source code level portability between CPU and GPU with MapCG CT Hong, DH Chen, YB Chen, WG Chen, WM Zheng, HB Lin Journal of Computer Science and Technology 27 (1), 42-56, 2012 | 20 | 2012 |
| RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior HY Hu, D Wu, YZ You, B Olshausen, Y Chen Machine Learning: Science and Technology (MLST 2022), 2022 | 17 | 2022 |
| A Neural Network MCMC Sampler that Maximizes Proposal Entropy Z Li, Y Chen, FT Sommer Entropy 23 (3), 2020 | 17 | 2020 |
| Word embedding visualization via dictionary learning J Zhang*, Y Chen*, B Cheung, BA Olshausen arXiv preprint arXiv:1910.03833, 2019 | 16 | 2019 |
| Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform Y Chen, Z Yun, Y Ma, B Olshausen, Y LeCun International Conference on Learning Representations (ICLR 2023), 2022 | 15* | 2022 |
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York UniversityCorreu electrònic verificat a cs.nyu.edu