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Test-Time Adaptation for Visual Document Understanding


Jun 15, 2022
Sayna Ebrahimi, Sercan O. Arik, Tomas Pfister


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Invariant Structure Learning for Better Generalization and Causal Explainability


Jun 13, 2022
Yunhao Ge, Sercan Γ–. Arik, Jinsung Yoon, Ao Xu, Laurent Itti, Tomas Pfister

* 16 pages (including Appendix), 4 figures 

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Interpretable Mixture of Experts for Structured Data


Jun 05, 2022
Aya Abdelsalam Ismail, Sercan Γ–. Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister


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Prefix Conditioning Unifies Language and Label Supervision


Jun 02, 2022
Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister


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DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning


Apr 10, 2022
Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer Dy, Tomas Pfister


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Learning Instance-Specific Adaptation for Cross-Domain Segmentation


Mar 30, 2022
Yuliang Zou, Zizhao Zhang, Chun-Liang Li, Han Zhang, Tomas Pfister, Jia-Bin Huang

* Project page: https://yuliang.vision/InstCal/ 

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FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction


Mar 24, 2022
Chen-Yu Lee, Chun-Liang Li, Timothy Dozat, Vincent Perot, Guolong Su, Nan Hua, Joshua Ainslie, Renshen Wang, Yasuhisa Fujii, Tomas Pfister

* Accepted to ACL 2022 

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Data-Efficient and Interpretable Tabular Anomaly Detection


Mar 03, 2022
Chun-Hao Chang, Jinsung Yoon, Sercan Arik, Madeleine Udell, Tomas Pfister


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Decoupling Local and Global Representations of Time Series


Feb 11, 2022
Sana Tonekaboni, Chun-Liang Li, Sercan Arik, Anna Goldenberg, Tomas Pfister


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Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series


Feb 04, 2022
Sercan O. Arik, Nathanael C. Yoder, Tomas Pfister


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