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Anytime Dense Prediction with Confidence Adaptivity
Report
Liu, Zhuang
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Xu, Zhiqiu
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Wang, Hung-Ju
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Darrell, Trevor
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Shelhamer, Evan
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Self-Supervised Pretraining Improves Self-Supervised Pretraining
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Reed, Colorado J.
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Yue, Xiangyu
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Nrusimha, Ani
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Ebrahimi, Sayna
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Vijaykumar, Vivek
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Mao, Richard
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Li, Bo
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Darrell, Trevor
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Monocular Quasi-Dense 3D Object Tracking
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Hu, Hou-Ning
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Fischer, Tobias
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Yu, Fisher
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Sun, Min
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Minimax Active Learning
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Ebrahimi, Sayna
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Gan, William
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Chen, Dian
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Biamby, Giscard
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Salahi, Kamyar
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Laielli, Michael
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Zhu, Shizhan
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Darrell, Trevor
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Temporal Action Detection with Multi-level Supervision
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Shi, Baifeng
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Dai, Qi
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Hoffman, Judy
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Saenko, Kate
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Darrell, Trevor
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Xu, Huijuan
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Fighting Copycat Agents in Behavioral Cloning from Observation Histories
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Wen, Chuan
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Darrell, Trevor
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Jayaraman, Dinesh
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Gao, Yang
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Modular Networks for Compositional Instruction Following
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Corona, Rodolfo
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Fried, Daniel
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Devin, Coline
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Klein, Dan
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Darrell, Trevor
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Auxiliary Task Reweighting for Minimum-data Learning
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Shi, Baifeng
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Hoffman, Judy
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Saenko, Kate
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Darrell, Trevor
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Xu, Huijuan
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Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation
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Li, Bo
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Wang, Yezhen
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Zhang, Shanghang
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Li, Dongsheng
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Darrell, Trevor
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Keutzer, Kurt
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Zhao, Han
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Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting
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Ebrahimi, Sayna
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Petryk, Suzanne
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Gokul, Akash
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Gan, William
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Gonzalez, Joseph E.
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Rohrbach, Marcus
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