متابعة
Sang Michael Xie
Sang Michael Xie
Meta GenAI
بريد إلكتروني تم التحقق منه على cs.stanford.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
On the opportunities and risks of foundation models‏
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...‏
arXiv preprint arXiv:2108.07258, 2021‏
49252021
Combining satellite imagery and machine learning to predict poverty‏
N Jean, M Burke, M Xie, WM Davis, DB Lobell, S Ermon‏
Science 353 (6301), 790-794, 2016‏
19292016
Wilds: A benchmark of in-the-wild distribution shifts‏
PW Koh, S Sagawa, H Marklund, SM Xie, M Zhang, A Balsubramani, ...‏
International conference on machine learning, 5637-5664, 2021‏
16222021
Holistic evaluation of language models‏
P Liang, R Bommasani, T Lee, D Tsipras, D Soylu, M Yasunaga, Y Zhang, ...‏
arXiv preprint arXiv:2211.09110, 2022‏
1427*2022
An Explanation of In-context Learning as Implicit Bayesian Inference‏
SM Xie, A Raghunathan, P Liang, T Ma‏
International Conference on Learning Representations (ICLR), 2022‏
7452022
Transfer learning from deep features for remote sensing and poverty mapping‏
M Xie, N Jean, M Burke, D Lobell, S Ermon‏
AAAI, 2016‏
5542016
Adversarial training can hurt generalization‏
A Raghunathan*, SM Xie*, F Yang, JC Duchi, P Liang‏
arXiv preprint arXiv:1906.06032, 2019‏
2952019
Understanding and mitigating the tradeoff between robustness and accuracy‏
A Raghunathan*, SM Xie*, F Yang, J Duchi, P Liang‏
International Conference on Machine Learning (ICML), 2020‏
2762020
Weakly supervised deep learning for segmentation of remote sensing imagery‏
S Wang, W Chen, SM Xie, G Azzari, DB Lobell‏
Remote Sensing 12 (2), 207, 2020‏
2582020
Reward design with language models‏
M Kwon, SM Xie, K Bullard, D Sadigh‏
arXiv preprint arXiv:2303.00001, 2023‏
2512023
Data selection for language models via importance resampling‏
SM Xie, S Santurkar, T Ma, PS Liang‏
Advances in Neural Information Processing Systems 36, 34201-34227, 2023‏
1712023
Doremi: Optimizing data mixtures speeds up language model pretraining‏
SM Xie, H Pham, X Dong, N Du, H Liu, Y Lu, PS Liang, QV Le, T Ma, ...‏
Advances in Neural Information Processing Systems 36, 2023‏
1462023
Extending the wilds benchmark for unsupervised adaptation‏
S Sagawa, PW Koh, T Lee, I Gao, SM Xie, K Shen, A Kumar, W Hu, ...‏
arXiv preprint arXiv:2112.05090, 2021‏
1392021
Connect, not collapse: Explaining contrastive learning for unsupervised domain adaptation‏
K Shen*, R Jones*, A Kumar*, SM Xie*, JZ HaoChen, T Ma, P Liang‏
arXiv preprint arXiv:2204.00570, 2022‏
1202022
Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning‏
C Wei, SM Xie, T Ma‏
Neural Information Processing Systems (NeurIPS), 2021‏
1092021
Reparameterizable Subset Sampling via Continuous Relaxations‏
SM Xie, S Ermon‏
IJCAI, 2019‏
1082019
Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance‏
N Jean*, SM Xie*, S Ermon‏
Advances in Neural Information Processing Systems (NeurIPS), 2018‏
1042018
A survey on data selection for language models‏
A Albalak, Y Elazar, SM Xie, S Longpre, N Lambert, X Wang, ...‏
arXiv preprint arXiv:2402.16827, 2024‏
902024
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness‏
SM Xie*, A Kumar*, R Jones*, F Khani, T Ma, P Liang‏
International Conference on Learning Representations (ICLR), 2022‏
662022
Same pre-training loss, better downstream: Implicit bias matters for language models‏
H Liu, SM Xie, Z Li, T Ma‏
International Conference on Machine Learning, 22188-22214, 2023‏
482023
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20