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Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation


Jul 30, 2022
Gongjie Zhang, Zhipeng Luo, Kaiwen Cui, Shijian Lu, Eric P. Xing

* Accepted by T-PAMI (IEEE Transactions on Pattern Analysis and Machine Intelligence). Codes: https://github.com/ZhangGongjie/Meta-DETR 

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Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale Feature Fusion


Jul 28, 2022
Gongjie Zhang, Zhipeng Luo, Yingchen Yu, Jiaxing Huang, Kaiwen Cui, Shijian Lu, Eric P. Xing


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Robustar: Interactive Toolbox Supporting Precise Data Annotation for Robust Vision Learning


Jul 18, 2022
Chonghan Chen, Haohan Wang, Leyang Hu, Yuhao Zhang, Shuguang Lyu, Jingcheng Wu, Xinnuo Li, Linjing Sun, Eric P. Xing

* This paper introduces the first release of our software. The paper is expected to be updated as we continue to develop the software 

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MRCLens: an MRC Dataset Bias Detection Toolkit


Jul 18, 2022
Yifan Zhong, Haohan Wang, Eric P. Xing

* dataperf workshop at IMCL 

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Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation


Jun 04, 2022
Haohan Wang, Zeyi Huang, Xindi Wu, Eric P. Xing

* to appear at KDD 2022, the software package is at https://github.com/jyanln/AlignReg. arXiv admin note: text overlap with arXiv:2011.13052 

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RLPrompt: Optimizing Discrete Text Prompts With Reinforcement Learning


May 25, 2022
Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, Yihan Wang, Han Guo, Tianmin Shu, Meng Song, Eric P. Xing, Zhiting Hu

* Code available at https://github.com/mingkaid/rl-prompt 

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The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization


Apr 09, 2022
Zeyi Huang, Haohan Wang, Dong Huang, Yong Jae Lee, Eric P. Xing

* to appear at CVPR2022 

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Can Transformers be Strong Treatment Effect Estimators?


Feb 14, 2022
Yi-Fan Zhang, Hanlin Zhang, Zachary C. Lipton, Li Erran Li, Eric P. Xing

* Technical Report. The first two authors contributed equally to this work 

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Towards Principled Disentanglement for Domain Generalization


Nov 27, 2021
Hanlin Zhang, Yi-Fan Zhang, Weiyang Liu, Adrian Weller, Bernhard Schölkopf, Eric P. Xing

* ICML2021 Machine Learning for Data Workshop 

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