Tang, Kaihua

7 publications

NeurIPS 2023 Generalized Logit Adjustment: Calibrating Fine-Tuned Models by Removing Label Bias in Foundation Models Beier Zhu, Kaihua Tang, Qianru Sun, Hanwang Zhang

ECCV 2022 Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-of-Distribution Generalization Jiaxin Qi, Kaihua Tang, Qianru Sun, Xian-Sheng Hua, Hanwang Zhang

ECCV 2022 Identifying Hard Noise in Long-Tailed Sample Distribution Xuanyu Yi, Kaihua Tang, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang

ECCV 2022 Invariant Feature Learning for Generalized Long-Tailed Classification Kaihua Tang, Mingyuan Tao, Jiaxin Qi, Zhenguang Liu, Hanwang Zhang

CVPR 2021 Counterfactual VQA: A Cause-Effect Look at Language Bias Yulei Niu, Kaihua Tang, Hanwang Zhang, Zhiwu Lu, Xian-Sheng Hua, Ji-Rong Wen

CVPR 2021 Distilling Causal Effect of Data in Class-Incremental Learning Xinting Hu, Kaihua Tang, Chunyan Miao, Xian-Sheng Hua, Hanwang Zhang

NeurIPS 2020 Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect Kaihua Tang, Jianqiang Huang, Hanwang Zhang