Xue, Yihao

10 publications

ICML 2025 Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Yihao Xue, Jiping Li, Baharan Mirzasoleiman

ICML 2024 Few-Shot Adaptation to Distribution Shifts by Mixing Source and Target Embeddings Yihao Xue, Ali Payani, Yu Yang, Baharan Mirzasoleiman

ICLR 2024 Investigating the Benefits of Projection Head for Representation Learning Yihao Xue, Eric Gan, Jiayi Ni, Siddharth Joshi, Baharan Mirzasoleiman

UAI 2024 Investigating the Impact of Model Width and Density on Generalization in Presence of Label Noise Yihao Xue, Kyle Whitecross, Baharan Mirzasoleiman

ICLR 2024 Understanding the Robustness of Multi-Modal Contrastive Learning to Distribution Shift Yihao Xue, Siddharth Joshi, Dang Nguyen, Baharan Mirzasoleiman

ICMLW 2023 Which Features Are Learned by Contrastive Learning? on the Role of Simplicity Bias in Class Collapse and Feature Suppression Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman

ICML 2023 Which Features Are Learnt by Contrastive Learning? on the Role of Simplicity Bias in Class Collapse and Feature Suppression Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman

ICML 2022 Investigating Why Contrastive Learning Benefits Robustness Against Label Noise Yihao Xue, Kyle Whitecross, Baharan Mirzasoleiman

ICMLW 2022 Investigating Why Contrastive Learning Benefits Robustness Against Label Noise Yihao Xue, Kyle Whitecross, Baharan Mirzasoleiman

AAAI 2021 Toward Understanding the Influence of Individual Clients in Federated Learning Yihao Xue, Chaoyue Niu, Zhenzhe Zheng, Shaojie Tang, Chengfei Lyu, Fan Wu, Guihai Chen