Yubei Chen
Cited by
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Orthogonal convolutional neural networks
J Wang, Y Chen, R Chakraborty, SX Yu
Conference on Computer Vision and Pattern Recognition (CVPR 2020), 2020
Decoupled contrastive learning
CH Yeh, CY Hong, YC Hsu, TL Liu, Y Chen, Y LeCun
European Conference on Computer Vision (ECCV 2022), 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
The sparse manifold transform
Y Chen, DM Paiton, BA Olshausen
Advances in Neural Information Processing Systems 31 (NeurIPS 2018), 2018
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
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
Neural manifold clustering and embedding
Z Li, Y Chen, Y LeCun, FT Sommer
arXiv preprint arXiv:2201.10000, 2022
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
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
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
Learning Energy-Based Models in High-Dimensional Spaces with Multi-Scale Denoising Score Matching
Z Li, Y Chen, FT Sommer
Entropy, 2019
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
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
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
A Neural Network MCMC Sampler that Maximizes Proposal Entropy
Z Li, Y Chen, FT Sommer
Entropy 23 (3), 2020
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
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
Disentangling images with Lie group transformations and sparse coding
HY Chau, F Qiu, Y Chen, B Olshausen
(NeurIPS 2022) Workshop on Symmetry and Geometry in Neural Representations …, 2020
Word embedding visualization via dictionary learning
J Zhang*, Y Chen*, B Cheung, BA Olshausen
arXiv preprint arXiv:1910.03833, 2019
EMP-SSL: Towards Self-Supervised Learning in One Training Epoch
S Tong, Y Chen, Y Ma, Y Lecun
arXiv preprint arXiv:2304.03977, 2023
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