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Yubei Chen
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2020 – today
- 2024
- [c17]Yunhui Guo, Youren Zhang, Yubei Chen, Stella X. Yu:
Unsupervised Feature Learning with Emergent Data-Driven Prototypicality. CVPR 2024: 23199-23208 - [c16]Jiayun Wang, Yubei Chen, Stella X. Yu:
Pose-Aware Self-supervised Learning with Viewpoint Trajectory Regularization. ECCV (21) 2024: 19-37 - [c15]Chun-Hsiao Yeh, Jiayun Wang, Andrew D. Graham, Andrea J. Liu, Bo Tan, Yubei Chen, Yi Ma, Meng C. Lin:
Insight: A Multi-modal Diagnostic Pipeline Using LLMs for Ocular Surface Disease Diagnosis. MICCAI (1) 2024: 711-721 - [i28]Chun-Hsiao Yeh, Ta Ying Cheng, He-Yen Hsieh, Chuan-En Lin, Yi Ma, Andrew Markham, Niki Trigoni, Hsiang-Tsung Kung, Yubei Chen:
Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition. CoRR abs/2402.15504 (2024) - [i27]Jiayun Wang, Stella X. Yu, Yubei Chen:
Trajectory Regularization Enhances Self-Supervised Geometric Representation. CoRR abs/2403.14973 (2024) - [i26]Zhiyu Chen, Ziyuan Wen, Weier Wan, Akhil Reddy Pakala, Yiwei Zou, Wei-Chen Wei, Zengyi Li, Yubei Chen, Kaiyuan Yang
:
PICO-RAM: A PVT-Insensitive Analog Compute-In-Memory SRAM Macro with In-Situ Multi-Bit Charge Computing and 6T Thin-Cell-Compatible Layout. CoRR abs/2407.12829 (2024) - [i25]Chun-Hsiao Yeh, Jiayun Wang, Andrew D. Graham, Andrea J. Liu, Bo Tan, Yubei Chen, Yi Ma, Meng C. Lin:
Insight: A Multi-Modal Diagnostic Pipeline using LLMs for Ocular Surface Disease Diagnosis. CoRR abs/2410.00292 (2024) - 2023
- [j7]Zengyi Li
Learning Energy-Based Models in High-Dimensional Spaces with Multiscale Denoising-Score Matching. Entropy 25(10): 1367 (2023) - [j6]Yubei Chen, Adrien Bardes, Zengyi Li, Yann LeCun:
Bag of Image Patch Embedding Behind the Success of Self-Supervised Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c14]Yubei Chen, Zeyu Yun, Yi Ma, Bruno A. Olshausen, Yann LeCun:
Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform. ICLR 2023 - [c13]Quentin Garrido, Yubei Chen, Adrien Bardes, Laurent Najman, Yann LeCun:
On the duality between contrastive and non-contrastive self-supervised learning. ICLR 2023 - [c12]Pu Hua, Yubei Chen, Huazhe Xu:
Simple Emergent Action Representations from Multi-Task Policy Training. ICLR 2023 - [c11]Jiayun Wang
Compact and Optimal Deep Learning with Recurrent Parameter Generators. WACV 2023: 3889-3899 - [i24]Shengbang Tong, Yubei Chen, Yi Ma, Yann LeCun:
EMP-SSL: Towards Self-Supervised Learning in One Training Epoch. CoRR abs/2304.03977 (2023) - [i23]Jiachen Zhu, Ravid Shwartz-Ziv, Yubei Chen, Yann LeCun:
Variance-Covariance Regularization Improves Representation Learning. CoRR abs/2306.13292 (2023) - [i22]Yunhui Guo, Youren Zhang, Yubei Chen, Stella X. Yu:
Unsupervised Feature Learning with Emergent Data-Driven Prototypicality. CoRR abs/2307.01421 (2023) - [i21]Zeyu Yun, Juexiao Zhang, Bruno A. Olshausen, Yann LeCun, Yubei Chen:
URLOST: Unsupervised Representation Learning without Stationarity or Topology. CoRR abs/2310.04496 (2023) - 2022
- [j5]Hong-Ye Hu
RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior. Mach. Learn. Sci. Technol. 3(3): 35009 (2022) - [c10]Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu:
Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers. CVPR 2022: 1-10 - [c9]Jiayun Wang
3D Shape Reconstruction from Free-Hand Sketches. ECCV Workshops (8) 2022: 184-202 - [c8]Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu, Yubei Chen, Yann LeCun:
Decoupled Contrastive Learning. ECCV (26) 2022: 668-684 - [c7]Ho Yin Chau, Frank Qiu, Yubei Chen, Bruno A. Olshausen:
Disentangling images with Lie group transformations and sparse coding. NeurReps 2022: 22-47 - [i20]Zengyi Li, Yubei Chen, Yann LeCun, Friedrich T. Sommer:
Neural Manifold Clustering and Embedding. CoRR abs/2201.10000 (2022) - [i19]Quentin Garrido, Yubei Chen, Adrien Bardes, Laurent Najman
On the duality between contrastive and non-contrastive self-supervised learning. CoRR abs/2206.02574 (2022) - [i18]Yubei Chen, Adrien Bardes, Zengyi Li, Yann LeCun:
Intra-Instance VICReg: Bag of Self-Supervised Image Patch Embedding. CoRR abs/2206.08954 (2022) - [i17]Bobak Toussi Kiani, Randall Balestriero, Yubei Chen, Seth Lloyd, Yann LeCun:
Joint Embedding Self-Supervised Learning in the Kernel Regime. CoRR abs/2209.14884 (2022) - [i16]Yubei Chen, Zeyu Yun, Yi Ma, Bruno A. Olshausen, Yann LeCun:
Minimalistic Unsupervised Learning with the Sparse Manifold Transform. CoRR abs/2209.15261 (2022) - [i15]Pu Hua, Yubei Chen, Huazhe Xu:
Simple Emergent Action Representations from Multi-Task Policy Training. CoRR abs/2210.09566 (2022) - [i14]Shengbang Tong, Xili Dai, Yubei Chen, Mingyang Li, Zengyi Li, Brent Yi, Yann LeCun, Yi Ma:
Unsupervised Learning of Structured Representations via Closed-Loop Transcription. CoRR abs/2210.16782 (2022) - 2021
- [j4]Zengyi Li
A Neural Network MCMC Sampler That Maximizes Proposal Entropy. Entropy 23(3): 269 (2021) - [c6]Zeyu Yun, Yubei Chen, Bruno A. Olshausen, Yann LeCun:
Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors. DeeLIO@NAACL-HLT 2021: 1-10 - [c5]Xiao Hu, Ming-Ching Chang, Yuwei Chen, Rahul Sridhar, Zhenyu Hu
The 2020 Low-Power Computer Vision Challenge. AICAS 2021: 1-4 - [i13]Zeyu Yun, Yubei Chen, Bruno A. Olshausen, Yann LeCun:
Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors. CoRR abs/2103.15949 (2021) - [i12]Jiayun Wang, Yubei Chen, Stella X. Yu, Brian Cheung, Yann LeCun:
Recurrent Parameter Generators. CoRR abs/2107.07110 (2021) - [i11]Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu:
Free Hyperbolic Neural Networks with Limited Radii. CoRR abs/2107.11472 (2021) - [i10]Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu, Yubei Chen, Yann LeCun:
Decoupled Contrastive Learning. CoRR abs/2110.06848 (2021) - 2020
- [b1]Yubei Chen:
The Sparse Manifold Transform and Unsupervised Learning for Signal Representation. University of California, Berkeley, USA, 2020 - [c4]Jiayun Wang, Yubei Chen
Orthogonal Convolutional Neural Networks. CVPR 2020: 11502-11512 - [i9]Jiayun Wang, Jierui Lin, Qian Yu, Runtao Liu, Yubei Chen, Stella X. Yu:
3D Shape Reconstruction from Free-Hand Sketches. CoRR abs/2006.09694 (2020) - [i8]Hong-Ye Hu
RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior. CoRR abs/2010.00029 (2020) - [i7]Zengyi Li, Yubei Chen, Friedrich T. Sommer:
A Neural Network MCMC sampler that maximizes Proposal Entropy. CoRR abs/2010.03587 (2020) - [i6]Ho Yin Chau, Frank Qiu, Yubei Chen, Bruno A. Olshausen:
Disentangling images with Lie group transformations and sparse coding. CoRR abs/2012.12071 (2020)
2010 – 2019
- 2019
- [c3]Brian Cheung, Alexander Terekhov, Yubei Chen, Pulkit Agrawal, Bruno A. Olshausen:
Superposition of many models into one. NeurIPS 2019: 10867-10876 - [i5]Brian Cheung, Alexander Terekhov, Yubei Chen, Pulkit Agrawal, Bruno A. Olshausen:
Superposition of many models into one. CoRR abs/1902.05522 (2019) - [i4]Juexiao Zhang, Yubei Chen, Brian Cheung, Bruno A. Olshausen:
Word Embedding Visualization Via Dictionary Learning. CoRR abs/1910.03833 (2019) - [i3]Zengyi Li, Yubei Chen, Friedrich T. Sommer:
Annealed Denoising Score Matching: Learning Energy-Based Models in High-Dimensional Spaces. CoRR abs/1910.07762 (2019) - [i2]Jiayun Wang, Yubei Chen, Rudrasis Chakraborty, Stella X. Yu:
Orthogonal Convolutional Neural Networks. CoRR abs/1911.12207 (2019) - 2018
- [c2]Yubei Chen, Dylan M. Paiton, Bruno A. Olshausen:
The Sparse Manifold Transform. NeurIPS 2018: 10534-10545 - [i1]Yubei Chen, Dylan M. Paiton, Bruno A. Olshausen:
The Sparse Manifold Transform. CoRR abs/1806.08887 (2018) - 2014
- [j3]Shuai Mu, Yangdong Deng, Yubei Chen
Orchestrating Cache Management and Memory Scheduling for GPGPU Applications. IEEE Trans. Very Large Scale Integr. Syst. 22(8): 1803-1814 (2014) - 2013
- [j2]Shuai Mu, Dongdong Li, Yubei Chen
Exploiting the Task-Pipelined Parallelism of Stream Programs on Many-Core GPUs. IEICE Trans. Inf. Syst. 96-D(10): 2194-2207 (2013) - 2012
- [j1]Chun-Tao Hong, Dehao Chen, Yubei Chen
Providing Source Code Level Portability Between CPU and GPU with MapCG. J. Comput. Sci. Technol. 27(1): 42-56 (2012) - 2011
- [c1]Yuhao Zhu, Yangdong Deng, Yubei Chen:
Hermes: an integrated CPU/GPU microarchitecture for IP routing. DAC 2011: 1044-1049
Coauthor Index
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last updated on 2024-11-15 19:34 CET by the dblp team
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