Chenwei Wu - RankMe

19 papers A* 7Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Adam-mini: Use Fewer Learning Rates To Gain More. ICLR Yushun Zhang, Congliang Chen, Ziniu Li, Tian Ding, Chenwei Wu, Diederik P. Kingma, Yinyu Ye, Zhi-Quan Luo, Ruoyu Sun
2024	J	`jnl`	Adam-mini: Use Fewer Learning Rates To Gain More. CoRR Yushun Zhang, Congliang Chen, Ziniu Li, Tian Ding, Chenwei Wu, Yinyu Ye, Zhi-Quan Luo, Ruoyu Sun
2023	A*	`conf`	Connecting Pre-trained Language Model and Downstream Task via Properties of Representation. NeurIPS Chenwei Wu, Holden Lee, Rong Ge
2023	A*	`conf`	Hiding Data Helps: On the Benefits of Masking for Sparse Coding. ICML Muthu Chidambaram, Chenwei Wu, Yu Cheng, Rong Ge
2023	J	`jnl`	Hiding Data Helps: On the Benefits of Masking for Sparse Coding. CoRR Muthu Chidambaram, Chenwei Wu, Yu Cheng, Rong Ge
2023	A*	`conf`	Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup. ICML Muthu Chidambaram, Xiang Wang, Chenwei Wu, Rong Ge
2023	—	`conf`	The Role of Linguistic Priors in Measuring Compositional Generalization of Vision-Language Models. ICBINB Chenwei Wu, Li Erran Li, Stefano Ermon, Patrick Haffner, Rong Ge, Zaiwei Zhang
2023	J	`jnl`	The Role of Linguistic Priors in Measuring Compositional Generalization of Vision-Language Models. CoRR Chenwei Wu, Li Erran Li, Stefano Ermon, Patrick Haffner, Rong Ge, Zaiwei Zhang
2023	—	`—`	Theoretical Understanding of Neural Network Optimization Landscape and Self-Supervised Representation Learning. Chenwei Wu
2022	J	`jnl`	Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup. CoRR Muthu Chidambaram, Xiang Wang, Chenwei Wu, Rong Ge
2022	A*	`conf`	Towards Understanding the Data Dependency of Mixup-style Training. ICLR Muthu Chidambaram, Xiang Wang, Yuzheng Hu, Chenwei Wu, Rong Ge
2021	A*	`conf`	Guarantees for Tuning the Step Size using a Learning-to-Learn Approach. ICML Xiang Wang, Shuai Yuan, Chenwei Wu, Rong Ge
2021	J	`jnl`	Towards Understanding the Data Dependency of Mixup-style Training. CoRR Muthu Chidambaram, Xiang Wang, Yuzheng Hu, Chenwei Wu, Rong Ge
2020	A*	`conf`	Beyond Lazy Training for Over-parameterized Tensor Decomposition. NeurIPS Xiang Wang, Chenwei Wu, Jason D. Lee, Tengyu Ma, Rong Ge
2020	J	`jnl`	Beyond Lazy Training for Over-parameterized Tensor Decomposition. CoRR Xiang Wang, Chenwei Wu, Jason D. Lee, Tengyu Ma, Rong Ge
2020	J	`jnl`	Dissecting Hessian: Understanding Common Structure of Hessian in Neural Networks. CoRR Yikai Wu, Xingyu Zhu, Chenwei Wu, Annie N. Wang, Rong Ge
2020	J	`jnl`	Guarantees for Tuning the Step Size using a Learning-to-Learn Approach. CoRR Xiang Wang, Shuai Yuan, Chenwei Wu, Rong Ge
2020	J	`jnl`	Secure Data Sharing With Flow Model. CoRR Chenwei Wu, Chenzhuang Du, Yang Yuan
2018	—	`conf`	No Spurious Local Minima in a Two Hidden Unit ReLU Network. ICLR (Workshop) Chenwei Wu, Jiajun Luo, Jason D. Lee