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Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh Recovery


Jun 21, 2022
Zhenzhen Weng, Kuan-Chieh Wang, Angjoo Kanazawa, Serena Yeung

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Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation


Jan 27, 2022
Jixuan Wang, Kuan-Chieh Wang, Frank Rudzicz, Michael Brudno

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* NeurIPS 2021 

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Variational Model Inversion Attacks


Jan 26, 2022
Kuan-Chieh Wang, Yan Fu, Ke Li, Ashish Khisti, Richard Zemel, Alireza Makhzani

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* 35th Conference on Neural Information Processing Systems (NeurIPS 2021) 

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Disentanglement and Generalization Under Correlation Shifts


Dec 29, 2021
Christina M. Funke, Paul Vicol, Kuan-Chieh Wang, Matthias Kümmerer, Richard Zemel, Matthias Bethge

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Flexible Few-Shot Learning with Contextual Similarity


Dec 10, 2020
Mengye Ren, Eleni Triantafillou, Kuan-Chieh Wang, James Lucas, Jake Snell, Xaq Pitkow, Andreas S. Tolias, Richard Zemel

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* Technical report, 29 pages 

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Understanding and mitigating exploding inverses in invertible neural networks


Jun 16, 2020
Jens Behrmann, Paul Vicol, Kuan-Chieh Wang, Roger Grosse, Jörn-Henrik Jacobsen

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Cutting out the Middle-Man: Training and Evaluating Energy-Based Models without Sampling


Feb 14, 2020
Will Grathwohl, Kuan-Chieh Wang, Jorn-Henrik Jacobsen, David Duvenaud, Richard Zemel

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Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One


Dec 11, 2019
Will Grathwohl, Kuan-Chieh Wang, Jörn-Henrik Jacobsen, David Duvenaud, Mohammad Norouzi, Kevin Swersky

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