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Uniform Masking Prevails in Vision-Language Pretraining


Dec 10, 2022
Siddharth Verma, Yuchen Lu, Rui Hou, Hanchao Yu, Nicolas Ballas, Madian Khabsa, Amjad Almahairi

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Prompting Decision Transformer for Few-Shot Policy Generalization


Jun 27, 2022
Mengdi Xu, Yikang Shen, Shun Zhang, Yuchen Lu, Ding Zhao, Joshua B. Tenenbaum, Chuang Gan

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* ICML 2022. Project page: https://mxu34.github.io/PromptDT/ 

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Expressiveness and Learnability: A Unifying View for Evaluating Self-Supervised Learning


Jun 02, 2022
Yuchen Lu, Zhen Liu, Aristide Baratin, Romain Laroche, Aaron Courville, Alessandro Sordoni

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Iterated learning for emergent systematicity in VQA


May 03, 2021
Ankit Vani, Max Schwarzer, Yuchen Lu, Eeshan Dhekane, Aaron Courville

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* Published as a conference paper at ICLR 2021. 9 pages main, 21 pages total including references and appendix 

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Learning Task Decomposition with Ordered Memory Policy Network


Mar 19, 2021
Yuchen Lu, Yikang Shen, Siyuan Zhou, Aaron Courville, Joshua B. Tenenbaum, Chuang Gan

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Supervised Seeded Iterated Learning for Interactive Language Learning


Oct 06, 2020
Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin, Aaron Courville

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A Rigorous Machine Learning Analysis Pipeline for Biomedical Binary Classification: Application in Pancreatic Cancer Nested Case-control Studies with Implications for Bias Assessments


Aug 28, 2020
Ryan J. Urbanowicz, Pranshu Suri, Yuchen Lu, Jason H. Moore, Karen Ruth, Rachael Stolzenberg-Solomon, Shannon M. Lynch

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* 22 pages, 12 figures 

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Countering Language Drift with Seeded Iterated Learning


Apr 06, 2020
Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin, Aaron Courville

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Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest


Mar 20, 2020
Xuan Li, Yuchen Lu, Christian Desrosiers, Xue Liu

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