Sang Michael Xie
Stanford University
H-index: 17
North America-United States
Top articles of Sang Michael Xie
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
A Survey on Data Selection for Language Models | Alon Albalak Yanai Elazar Sang Michael Xie Shayne Longpre Nathan Lambert | 2024/2/26 | |
Doremi: Optimizing data mixtures speeds up language model pretraining | Advances in Neural Information Processing Systems | Sang Michael Xie Hieu Pham Xuanyi Dong Nan Du Hanxiao Liu | 2024/2/13 |
Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations | arXiv preprint arXiv:2402.03325 | Helen Qu Sang Michael Xie | 2024/1/8 |
Reward design with language models | arXiv preprint arXiv:2303.00001 | Minae Kwon Sang Michael Xie Kalesha Bullard Dorsa Sadigh | 2023/2/27 |
Data selection for language models via importance resampling | Advances in Neural Information Processing Systems | Sang Michael Xie Shibani Santurkar Tengyu Ma Percy S Liang | 2023/12/15 |
Same pre-training loss, better downstream: Implicit bias matters for language models | Hong Liu Sang Michael Xie Zhiyuan Li Tengyu Ma | 2023/7/3 | |
Holistic evaluation of language models | arXiv preprint arXiv:2211.09110 | Percy Liang Rishi Bommasani Tony Lee Dimitris Tsipras Dilara Soylu | 2022/11/16 |
Connect, not collapse: Explaining contrastive learning for unsupervised domain adaptation | International Conference on Machine Learning (ICML) 2022 | Kendrick Shen Robbie Jones Ananya Kumar Sang Michael Xie Jeff Z HaoChen | 2022/4/1 |
An Explanation of In-context Learning as Implicit Bayesian Inference | arXiv preprint arXiv:2111.02080 | Sang Michael Xie Aditi Raghunathan Percy Liang Tengyu Ma | 2021/11/3 |
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness | arXiv preprint arXiv:2012.04550 | Sang Michael Xie Ananya Kumar Robbie Jones Fereshte Khani Tengyu Ma | 2020/12/8 |
Extending the wilds benchmark for unsupervised adaptation | arXiv preprint arXiv:2112.05090 | Shiori Sagawa Pang Wei Koh Tony Lee Irena Gao Sang Michael Xie | 2021/12/9 |
Automated detection of skin reactions in epicutaneous patch testing using machine learning | British Journal of Dermatology | WH Chan R Srivastava N Damaraju H Do G Burnett | 2021/8/1 |
Ensembles and cocktails: Robust finetuning for natural language generation | John Hewitt Xiang Lisa Li Sang Michael Xie Benjamin Newman Percy Liang | 2021/10/6 | |
Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization | Sang Michael Xie Tengyu Ma Percy Liang | 2021/7/1 | |
No true state-of-the-art? ood detection methods are inconsistent across datasets | ICML UDL Workshop | Fahim Tajwar Ananya Kumar* Sang Michael Xie* Percy Liang | 2021/9/12 |
On the opportunities and risks of foundation models | arXiv preprint arXiv:2108.07258 | Rishi Bommasani Drew A Hudson Ehsan Adeli Russ Altman Simran Arora | 2021/8/16 |
Wilds: A benchmark of in-the-wild distribution shifts | Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang | 2021/7/1 | |
Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning | Advances in Neural Information Processing Systems | Colin Wei Sang Michael Xie Tengyu Ma | 2021/12/6 |
Understanding and mitigating the tradeoff between robustness and accuracy | Aditi Aditi Raghunathan Sang Michael Michael Xie Xie Fanny Yang John Duchi | 2022/6 | |
Weakly supervised deep learning for segmentation of remote sensing imagery | Remote Sensing | Sherrie Wang William Chen Sang Michael Xie George Azzari David B Lobell | 2020/1/7 |
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