Hu, Dapeng

13 publications

ICML 2024 Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation Dapeng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo
NeurIPS 2024 Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and a Certified Baseline Dapeng Hu, Mi Luo, Jian Liang, Chuan-Sheng Foo
NeurIPS 2023 Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation Dapeng Hu, Jian Liang, Jun Hao Liew, Chuhui Xue, Song Bai, Xinchao Wang
NeurIPSW 2023 Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Domain Adaptation Dapeng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo
NeurIPSW 2023 Simplifying and Stabilizing Model Selection in Unsupervised Domain Adaptation Dapeng Hu, Mi Luo, Jian Liang, Chuan-Sheng Foo
CVPR 2022 DINE: Domain Adaptation from Single and Multiple Black-Box Predictors Jian Liang, Dapeng Hu, Jiashi Feng, Ran He
ICLR 2022 How Well Does Self-Supervised Pre-Training Perform with Streaming Data? Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng
CVPR 2021 Domain Adaptation with Auxiliary Target Domain-Oriented Classifier Jian Liang, Dapeng Hu, Jiashi Feng
NeurIPSW 2021 How Well Does Self-Supervised Pre-Training Perform with Streaming ImageNet? Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng
NeurIPS 2021 No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, Jiashi Feng
NeurIPS 2021 Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng
ECCV 2020 A Balanced and Uncertainty-Aware Approach for Partial Domain Adaptation Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng
ICML 2020 Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation Jian Liang, Dapeng Hu, Jiashi Feng