How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?
- Hongkang Li
- Meng Weng
- et al.
- 2024
- ICML 2024
Conference paper
Publications
7 results for Meng Weng
How Do Nonlinear Transformers Acquire Generalization-Guaranteed CoT Ability?
- Hongkang Li
- Meng Weng
- et al.
- 2024
- ICML 2024
Workshop paperVariance Reduction Can Improve Trade-Off in Multi-Objective Learning
- Heshan Fernando
- Lisha Chen
- et al.
- 2024
- ICASSP 2024
Conference paperJoint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks
- Shuai Zhang
- Meng Weng
- et al.
- 2023
- ICLR 2023
Conference paperA Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity
- Hongkang Li
- Meng Weng
- et al.
- 2023
- ICLR 2023
Conference paperHow unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
- Shuai Zhang
- Meng Weng
- et al.
- 2022
- ICLR 2022
Conference paperWhy Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks
- Shuai Zhang
- Meng Weng
- et al.
- 2021
- NeurIPS 2021
Conference paper