| MEWL: Few-shot multimodal word learning with referential uncertainty G Jiang, M Xu, S Xin, W Liang, Y Peng, C Zhang, Y Zhu International Conference on Machine Learning, 15144-15169, 2023 | 20 | 2023 |
| On the connection between invariant learning and adversarial training for out-of-distribution generalization S Xin, Y Wang, J Su, Y Wang Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 10519 …, 2023 | 7 | 2023 |
| Fast inference for augmented large language models R Shahout, C Liang, S Xin, Q Lao, Y Cui, M Yu, M Mitzenmacher arXiv preprint arXiv:2410.18248, 2024 | 2 | 2024 |
| Domain-wise Adversarial Training for Out-of-Distribution Generalization S Xin, Y Wang, J Su, Y Wang | 1 | 2022 |
| Efficient Inference for Augmented Large Language Models R Shahout, C Liang, S Xin, Q Lao, Y Cui, M Yu, M Mitzenmacher arXiv e-prints, arXiv: 2410.18248, 2024 | | 2024 |
| GlobalTomo: A global dataset for physics-ML seismic wavefield modeling and FWI S Li, Z Li, Z Mu, S Xin, Z Dai, K Leng, R Zhang, X Song, Y Zhu arXiv preprint arXiv:2406.18202, 2024 | | 2024 |
| Boosting Certified Robustness with EMA Method and Ensemble Model B Li, S Xin, Q Zhang arXiv preprint arXiv:2107.00230, 2021 | | 2021 |
