| GO gradient for expectation-based objectives Y Cong, M Zhao, K Bai, L Carin arXiv preprint arXiv:1901.06020, 2019 | 24 | 2019 |
| Variational annealing of GANs: A Langevin perspective C Tao, S Dai, L Chen, K Bai, J Chen, C Liu, R Zhang, G Bobashev, ... International conference on machine learning, 6176-6185, 2019 | 23 | 2019 |
| On fenchel mini-max learning C Tao, L Chen, S Dai, J Chen, K Bai, D Wang, J Feng, W Lu, G Bobashev, ... Advances in Neural Information Processing Systems 32, 2019 | 23 | 2019 |
| Sequence generation with optimal-transport-enhanced reinforcement learning L Chen, K Bai, C Tao, Y Zhang, G Wang, W Wang, R Henao, L Carin Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7512-7520, 2020 | 19 | 2020 |
| Everyone deserves a reward: Learning customized human preferences P Cheng, J Xie, K Bai, Y Dai, N Du arXiv preprint arXiv:2309.03126, 2023 | 17 | 2023 |
| Adversarial learning of a sampler based on an unnormalized distribution C Li, K Bai, J Li, G Wang, C Chen, L Carin The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 17 | 2019 |
| Weakly supervised cross-domain alignment with optimal transport S Yuan, K Bai, L Chen, Y Zhang, C Tao, C Li, G Wang, R Henao, L Carin arXiv preprint arXiv:2008.06597, 2020 | 14 | 2020 |
| Estimating total correlation with mutual information estimators K Bai, P Cheng, W Hao, R Henao, L Carin International Conference on Artificial Intelligence and Statistics, 2147-2164, 2023 | 9 | 2023 |
| Multiscale visual-attribute co-attention for zero-shot image recognition H Zhang, L Tian, Z Wang, Y Xu, P Cheng, K Bai, B Chen IEEE Transactions on Neural Networks and Learning Systems 34 (9), 6003-6014, 2021 | 9 | 2021 |
| Regularizing reasons for outfit evaluation with gradient penalty X Zou, Z Li, K Bai, D Lin, W Wong arXiv preprint arXiv:2002.00460, 2020 | 9 | 2020 |
| Variational inference with holder bounds J Chen, D Lu, Z Xiu, K Bai, L Carin, C Tao arXiv preprint arXiv:2111.02947, 2021 | 6 | 2021 |
| Semantic matching for sequence-to-sequence learning R Zhang, C Chen, X Zhang, K Bai, L Carin Findings of the Association for Computational Linguistics: EMNLP 2020, 212-222, 2020 | 6 | 2020 |
| Open world classification with adaptive negative samples K Bai, G Wang, J Li, S Park, S Lee, P Xu, R Henao, L Carin arXiv preprint arXiv:2303.05581, 2023 | 5 | 2023 |
| Collaborative anomaly detection K Bai, A Zhang, Z Li, R Heano, C Wang, L Carin arXiv preprint arXiv:2209.09923, 2022 | 4 | 2022 |
| Advancing weakly supervised cross-domain alignment with optimal transport. S Yuan, K Bai, L Chen, Y Zhang, C Tao, C Li, G Wang, R Henao, L Carin BMVC, 2020 | 4 | 2020 |
| OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding Z Shi, G Wang, K Bai, J Li, X Li, Q Cui, B Zeng, T Chilimbi, X Zhu Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 3 | 2023 |
| Semantic Matching via Optimal Partial Transport. R Zhang, C Chen, X Zhang, K Bai, L Carin | 3 | 2020 |
| Reservoir computing with a small-world network for discriminating two sequential stimuli K Bai, F Liao, X Hu Advances in Neural Networks-ISNN 2017: 14th International Symposium, ISNN …, 2017 | 3 | 2017 |
| Learning to weight filter groups for robust classification S Yuan, Y Li, D Wang, K Bai, L Carin, D Carlson Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 2 | 2022 |
| Learning Implicit Text Generation via Feature Matching I Padhi, P Dognin, K Bai, CN Santos, V Chenthamarakshan, Y Mroueh, ... arXiv preprint arXiv:2005.03588, 2020 | 1 | 2020 |
