Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping. - Sang Michael Xie; Neal Jean; Marshall Burke; David B. Lobell; Stefano Ermon (AAAI, 2016)

Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance. - Neal Jean; Sang Michael Xie; Stefano Ermon (NeurIPS, 2018)

Reparameterizable Subset Sampling via Continuous Relaxations. - Sang Michael Xie; Stefano Ermon (IJCAI, 2019)

Differentiable Subset Sampling. - Sang Michael Xie; Stefano Ermon (CoRR, 2019)

Adversarial Training Can Hurt Generalization. - Aditi Raghunathan; Sang Michael Xie; Fanny Yang; John C. Duchi; Percy Liang (CoRR, 2019)

Understanding and Mitigating the Tradeoff between Robustness and Accuracy. - Aditi Raghunathan; Sang Michael Xie; Fanny Yang; John C. Duchi; Percy Liang (ICML, 2020)

Simplifying Models with Unlabeled Output Data. - Sang Michael Xie; Tengyu Ma 001; Percy Liang (CoRR, 2020)

WILDS: A Benchmark of in-the-Wild Distribution Shifts. - Pang Wei Koh; Shiori Sagawa; Henrik Marklund; Sang Michael Xie; Marvin Zhang; Akshay Balsubramani; Weihua Hu; Michihiro Yasunaga; Richard Lanas Phillips; Sara Beery; Jure Leskovec; Anshul Kundaje; et al. (CoRR, 2020)

Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery. - Sherrie Wang; William Chen; Sang Michael Xie; George Azzari; David B. Lobell (Remote. Sens., 2020)

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)

WILDS: A Benchmark of in-the-Wild Distribution Shifts. - Pang Wei Koh; Shiori Sagawa; Henrik Marklund; Sang Michael Xie; Marvin Zhang; Akshay Balsubramani; Weihua Hu; Michihiro Yasunaga; Richard Lanas Phillips; Irena Gao; Tony Lee; Etienne David; et al. (ICML, 2021)

Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization. - Sang Michael Xie; Tengyu Ma 001; Percy Liang (ICML, 2021)

Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning. - Colin Wei; Sang Michael Xie; Tengyu Ma 001 (NeurIPS, 2021)

No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets. - Fahim Tajwar; Ananya Kumar; Sang Michael Xie; Percy Liang (CoRR, 2021)

Extending the WILDS Benchmark for Unsupervised Adaptation. - Shiori Sagawa; Pang Wei Koh; Tony Lee; Irena Gao; Sang Michael Xie; Kendrick Shen; Ananya Kumar; Weihua Hu; Michihiro Yasunaga; Henrik Marklund; Sara Beery; Etienne David; et al. (ICLR, 2022)

An Explanation of In-context Learning as Implicit Bayesian Inference. - Sang Michael Xie; Aditi Raghunathan; Percy Liang; Tengyu Ma 001 (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)

Reward Design with Language Models. - Minae Kwon; Sang Michael Xie; Kalesha Bullard; Dorsa Sadigh (ICLR, 2023)

Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models. - Hong Liu; Sang Michael Xie; Zhiyuan Li 005; Tengyu Ma 001 (ICML, 2023)

DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining. - Sang Michael Xie; Hieu Pham 001; Xuanyi Dong; Nan Du 002; Hanxiao Liu; Yifeng Lu; Percy Liang; Quoc V. Le; Tengyu Ma 001; Adams Wei Yu (NeurIPS, 2023)

Data Selection for Language Models via Importance Resampling. - Sang Michael Xie; Shibani Santurkar; Tengyu Ma 001; Percy Liang (NeurIPS, 2023)

Holistic Evaluation of Language Models. - Percy Liang; Rishi Bommasani; Tony Lee; Dimitris Tsipras; Dilara Soylu; Michihiro Yasunaga; Yian Zhang; Deepak Narayanan; Yuhuai Wu; Ananya Kumar; Benjamin Newman; Binhang Yuan; et al. (Trans. Mach. Learn. Res., 2023)

Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations. - Helen Qu; Sang Michael Xie (ICML, 2024)

Meta-Designing Quantum Experiments with Language Models. - Sören Arlt; Haonan Duan 002; Felix Li; Sang Michael Xie; Yuhuai Wu; Mario Krenn (CoRR, 2024)

A Survey on Data Selection for Language Models. - Alon Albalak; Yanai Elazar; Sang Michael Xie; Shayne Longpre; Nathan Lambert 001; Xinyi Wang 003; Niklas Muennighoff; Bairu Hou; Liangming Pan; Haewon Jeong; Colin Raffel; Shiyu Chang; et al. (Trans. Mach. Learn. Res., 2024)

Impact of Pretraining Word Co-occurrence on Compositional Generalization in Multimodal Models. - Helen Qu; Sang Michael Xie (CoRR, 2025)