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Jiawei Du , Daquan Zhou , Jiashi Feng , Vincent Y. F. Tan , Joey Tianyi Zhou


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Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors



Jianfei Yang , Xiangyu Peng , Kai Wang , Zheng Zhu , Jiashi Feng , Lihua Xie , Yang You

* A black-box model adaptation approach that proposes divide-to-adapt to suppress the confirmation bias 

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Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction



Kuangqi Zhou , Kaixin Wang , Jiashi Feng , Jian Tang , Tingyang Xu , Xinchao Wang


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Understanding The Robustness in Vision Transformers



Daquan Zhou , Zhiding Yu , Enze Xie , Chaowei Xiao , Anima Anandkumar , Jiashi Feng , Jose M. Alvarez


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Generalizing Few-Shot NAS with Gradient Matching



Shoukang Hu , Ruochen Wang , Lanqing Hong , Zhenguo Li , Cho-Jui Hsieh , Jiashi Feng

* Accepted by ICLR2022 

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PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision



Kehong Gong , Bingbing Li , Jianfeng Zhang , Tao Wang , Jing Huang , Michael Bi Mi , Jiashi Feng , Xinchao Wang

* CVPR 2022 Oral Paper, code available: https://github.com/Garfield-kh/PoseTriplet 

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SODAR: Segmenting Objects by DynamicallyAggregating Neighboring Mask Representations



Tao Wang , Jun Hao Liew , Yu Li , Yunpeng Chen , Jiashi Feng

* accepted to IEEE Transactions on Image Processing (TIP) 

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The Geometry of Robust Value Functions



Kaixin Wang , Navdeep Kumar , Kuangqi Zhou , Bryan Hooi , Jiashi Feng , Shie Mannor


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Towards Adversarially Robust Deep Image Denoising



Hanshu Yan , Jingfeng Zhang , Jiashi Feng , Masashi Sugiyama , Vincent Y. F. Tan


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Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning



Yujun Shi , Kuangqi Zhou , Jian Liang , Zihang Jiang , Jiashi Feng , Philip Torr , Song Bai , Vincent Y. F. Tan


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