In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness. - Sang Michael Xie; Ananya Kumar; Robbie Jones; Fereshte Khani; Tengyu Ma 001; Percy Liang (ICLR, 2021)

Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution. - Ananya Kumar; Aditi Raghunathan; Robbie Matthew Jones; Tengyu Ma 001; Percy Liang (ICLR, 2022)

Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation. - Kendrick Shen; Robbie M. Jones; Ananya Kumar; Sang Michael Xie; Jeff Z. HaoChen; Tengyu Ma 001; Percy Liang (ICML, 2022)