Ke Bai - RankMe

21 papers A* 5A 4Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	A	`conf`	Estimating Total Correlation with Mutual Information Estimators. AISTATS Ke Bai, Pengyu Cheng, Weituo Hao, Ricardo Henao, Larry Carin
2023	J	`jnl`	Everyone Deserves A Reward: Learning Customized Human Preferences. CoRR Pengyu Cheng, Jiawen Xie, Ke Bai, Yong Dai, Nan Du
2023	—	`—`	Learning in the Open World: Techniques for Identifying and Adapting to the Unknown. Ke Bai
2023	J	`jnl`	Multiscale Visual-Attribute Co-Attention for Zero-Shot Image Recognition. IEEE Trans. Neural Networks Learn. Syst. Hao Zhang, Long Tian, Zhengjue Wang, Yishi Xu, Pengyu Cheng, Ke Bai, Bo Chen
2023	J	`jnl`	Open World Classification with Adaptive Negative Samples. CoRR Ke Bai, Guoyin Wang, Jiwei Li, Sunghyun Park, Sungjin Lee, Puyang Xu, Ricardo Henao, Lawrence Carin
2023	A*	`conf`	OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding. EMNLP Zhan Shi, Guoyin Wang, Ke Bai, Jiwei Li, Xiang Li, Qingjun Cui, Belinda Zeng, Trishul Chilimbi, Xiaodan Zhu
2022	J	`jnl`	Collaborative Anomaly Detection. CoRR Ke Bai, Aonan Zhang, Zhizhong Li, Ricardo Henao, Chong Wang, Lawrence Carin
2022	A	`conf`	Learning to Weight Filter Groups for Robust Classification. WACV Siyang Yuan, Yitong Li, Dong Wang, Ke Bai, Lawrence Carin, David E. Carlson
2022	A*	`conf`	Open World Classification with Adaptive Negative Samples. EMNLP Ke Bai, Guoyin Wang, Jiwei Li, Sunghyun Park, Sungjin Lee, Puyang Xu, Ricardo Henao, Lawrence Carin
2021	J	`jnl`	Variational Inference with Holder Bounds. CoRR Junya Chen, Danni Lu, Zidi Xiu, Ke Bai, Lawrence Carin, Chenyang Tao
2020	A	`conf`	Advancing weakly supervised cross-domain alignment with optimal transport. BMVC Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin
2020	J	`jnl`	Regularizing Reasons for Outfit Evaluation with Gradient Penalty. CoRR Xingxing Zou, Zhizhong Li, Ke Bai, Dahua Lin, Waikeung Wong
2020	—	`conf`	Semantic Matching via Optimal Partial Transport. EMNLP (Findings) Ruiyi Zhang, Changyou Chen, Xinyuan Zhang, Ke Bai, Lawrence Carin
2020	A*	`conf`	Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning. AAAI Liqun Chen, Ke Bai, Chenyang Tao, Yizhe Zhang, Guoyin Wang, Wenlin Wang, Ricardo Henao, Lawrence Carin
2020	J	`jnl`	Weakly supervised cross-domain alignment with optimal transport. CoRR Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin
2019	A	`conf`	Adversarial Learning of a Sampler Based on an Unnormalized Distribution. AISTATS Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin
2019	J	`jnl`	Adversarial Learning of a Sampler Based on an Unnormalized Distribution. CoRR Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin
2019	—	`conf`	GO Gradient for Expectation-Based Objectives. ICLR (Poster) Yulai Cong, Miaoyun Zhao, Ke Bai, Lawrence Carin
2019	J	`jnl`	GO Gradient for Expectation-Based Objectives. CoRR Yulai Cong, Miaoyun Zhao, Ke Bai, Lawrence Carin
2019	A*	`conf`	On Fenchel Mini-Max Learning. NeurIPS Chenyang Tao, Liqun Chen, Shuyang Dai, Junya Chen, Ke Bai, Dong Wang, Jianfeng Feng, Wenlian Lu, Georgiy V. Bobashev, Lawrence Carin
2019	A*	`conf`	Variational Annealing of GANs: A Langevin Perspective. ICML Chenyang Tao, Shuyang Dai, Liqun Chen, Ke Bai, Junya Chen, Chang Liu, Ruiyi Zhang, Georgiy V. Bobashev, Lawrence Carin