Zhenmei Shi

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 29

Top Topics

Norm Regularization

Top Venues

Publications

Jiuxiang Gu, Chenyang Li, Yingyu Liang, Zhenmei Shi, Zhao Song
Exploring the Frontiers of Softmax: Provable Optimization, Applications in Diffusion Model, and Beyond. CoRR (2024)
Zhuoyan Xu, Zhenmei Shi, Junyi Wei, Fangzhou Mu, Yin Li, Yingyu Liang
Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning. ICLR (2024)
Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou
Differential Privacy of Cross-Attention with Provable Guarantee. CoRR (2024)
Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Chiwun Yang
Toward Infinite-Long Prefix in Transformer. CoRR (2024)
Zhuoyan Xu, Zhenmei Shi, Junyi Wei, Fangzhou Mu, Yin Li, Yingyu Liang
Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning. CoRR (2024)
Zhuoyan Xu, Zhenmei Shi, Yingyu Liang
Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability. CoRR (2024)
Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou
Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective. CoRR (2024)
Jiuxiang Gu, Chenyang Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Tianyi Zhou
Fourier Circuits in Neural Networks: Unlocking the Potential of Large Language Models in Mathematical Reasoning and Modular Arithmetic. CoRR (2024)
Jiuxiang Gu, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song
Differential Privacy Mechanisms in Neural Tangent Kernel Regression. CoRR (2024)
Jiayu Wang, Yifei Ming, Zhenmei Shi, Vibhav Vineet, Xin Wang, Neel Joshi
Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models. CoRR (2024)
Jiuxiang Gu, Yingyu Liang, Heshan Liu, Zhenmei Shi, Zhao Song, Junze Yin
Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers. CoRR (2024)
Zhenmei Shi, Junyi Wei, Zhuoyan Xu, Yingyu Liang
Why Larger Language Models Do In-context Learning Differently? CoRR (2024)
Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou
Tensor Attention Training: Provably Efficient Learning of Higher-order Transformers. CoRR (2024)
Zhenmei Shi, Yifei Ming, Ying Fan, Frederic Sala, Yingyu Liang
Domain Generalization via Nuclear Norm Regularization. CoRR (2023)
Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning. ICLR (2023)
Zhenmei Shi, Junyi Wei, Yingyu Liang
Provable Guarantees for Neural Networks via Gradient Feature Learning. CoRR (2023)
Yiyou Sun, Zhenmei Shi, Yingyu Liang, Yixuan Li
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis. ICML (2023)
Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning. CoRR (2023)
Yiyou Sun, Zhenmei Shi, Yixuan Li
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning. NeurIPS (2023)
Zhenmei Shi, Junyi Wei, Yingyu Liang
Provable Guarantees for Neural Networks via Gradient Feature Learning. NeurIPS (2023)
Yiyou Sun, Zhenmei Shi, Yingyu Liang, Yixuan Li
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis. CoRR (2023)
Yiyou Sun, Zhenmei Shi, Yixuan Li
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning. CoRR (2023)
Zhenmei Shi, Fuhao Shi, Wei-Sheng Lai, Chia-Kai Liang, Yingyu Liang
Deep Online Fused Video Stabilization. WACV (2022)
Zhenmei Shi, Junyi Wei, Yingyu Liang
A Theoretical Analysis on Feature Learning in Neural Networks: Emergence from Inputs and Advantage over Fixed Features. ICLR (2022)
Mehmet Furkan Demirel, Shengchao Liu, Siddhant Garg, Zhenmei Shi, Yingyu Liang
Attentive Walk-Aggregating Graph Neural Networks. Trans. Mach. Learn. Res. 2022 (2022)
Zhenmei Shi, Junyi Wei, Yingyu Liang
A Theoretical Analysis on Feature Learning in Neural Networks: Emergence from Inputs and Advantage over Fixed Features. CoRR (2022)
Zhenmei Shi, Fuhao Shi, Wei-Sheng Lai, Chia-Kai Liang, Yingyu Liang
Deep Online Fused Video Stabilization. CoRR (2021)
Zhaoyang Yang, Zhenmei Shi, Xiaoyong Shen, Yu-Wing Tai
SF-Net: Structured Feature Network for Continuous Sign Language Recognition. CoRR (2019)
Zhenmei Shi, Haoyang Fang, Yu-Wing Tai, Chi-Keung Tang
DAWN: Dual Augmented Memory Network for Unsupervised Video Object Tracking. CoRR (2019)