| Fusedream: Training-free text-to-image generation with improved clip+ gan space optimization X Liu, C Gong, L Wu, S Zhang, H Su, Q Liu arXiv preprint arXiv:2112.01573, 2021 | 38 | 2021 |
| Bayesian attention modules X Fan, S Zhang, B Chen, M Zhou Advances in Neural Information Processing Systems 33, 16362-16376, 2020 | 37 | 2020 |
| A prototype-oriented framework for unsupervised domain adaptation K Tanwisuth, X Fan, H Zheng, S Zhang, H Zhang, B Chen, M Zhou Advances in Neural Information Processing Systems 34, 17194-17208, 2021 | 35 | 2021 |
| Knowing more about questions can help: Improving calibration in question answering S Zhang, C Gong, E Choi arXiv preprint arXiv:2106.01494, 2021 | 26 | 2021 |
| Contextual dropout: An efficient sample-dependent dropout module X Fan, S Zhang, K Tanwisuth, X Qian, M Zhou arXiv preprint arXiv:2103.04181, 2021 | 23 | 2021 |
| Learning from uneven training data: Unlabeled, single label, and multiple labels S Zhang, C Gong, E Choi arXiv e-prints, arXiv: 2109.04408, 2021 | 16* | 2021 |
| Bayesian attention belief networks S Zhang, X Fan, B Chen, M Zhou International Conference on Machine Learning, 12413-12426, 2021 | 13 | 2021 |
| ALLSH: Active Learning Guided by Local Sensitivity and Hardness S Zhang, C Gong, X Liu, P He, W Chen, M Zhou arXiv preprint arXiv:2205.04980, 2022 | 10 | 2022 |
| Capturing label distribution: A case study in nli S Zhang, C Gong, E Choi arXiv preprint arXiv:2102.06859, 2021 | 7 | 2021 |
| Alignment attention by matching key and query distributions S Zhang, X Fan, H Zheng, K Tanwisuth, M Zhou Advances in Neural Information Processing Systems 34, 13444-13457, 2021 | 5 | 2021 |
| Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning S Yang, Y Feng, S Zhang, M Zhou International Conference on Machine Learning, 24980-25006, 2022 | 3 | 2022 |
| A prototype-oriented clustering for domain shift with source privacy K Tanwisuth, S Zhang, P He, M Zhou arXiv preprint arXiv:2302.03807, 2023 | 2 | 2023 |
| Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models S Zhang, C Gong, X Liu arXiv preprint arXiv:2211.00915, 2022 | 2 | 2022 |
| A Unified Framework for Alternating Offline Model Training and Policy Learning S Yang, S Zhang, Y Feng, M Zhou arXiv preprint arXiv:2210.05922, 2022 | 2 | 2022 |
| AutoML-GPT: Automatic Machine Learning with GPT S Zhang, C Gong, L Wu, X Liu, M Zhou arXiv preprint arXiv:2305.02499, 2023 | | 2023 |
| POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models K Tanwisuth, S Zhang, H Zheng, P He, M Zhou arXiv preprint arXiv:2305.00350, 2023 | | 2023 |
| Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-Oriented Dialogue Systems Y Feng, S Yang, S Zhang, J Zhang, C Xiong, M Zhou, H Wang arXiv preprint arXiv:2302.10342, 2023 | | 2023 |
| FlowGrad: Controlling the Output of Generative ODEs with Gradients X Liu, L Wu, S Zhang, C Gong, W Ping, Q Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | | 2023 |
| Crossformer: Transformer with Alternated Cross-Layer Guidance S Zhang, Z Duan, H Zheng, P He, B Chen, W Chen, M Zhou | | 2021 |
