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Iterated learning for emergent systematicity in VQA


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

* 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

* 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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Boosting Image Recognition with Non-differentiable Constraints


Oct 02, 2019
Xuan Li, Yuchen Lu, Peng Xu, Jizong Peng, Christian Desrosiers, Xue Liu


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No Press Diplomacy: Modeling Multi-Agent Gameplay


Sep 04, 2019
Philip Paquette, Yuchen Lu, Steven Bocco, Max O. Smith, Satya Ortiz-Gagne, Jonathan K. Kummerfeld, Satinder Singh, Joelle Pineau, Aaron Courville

* Accepted at NeurIPS 2019 

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Anomaly Detection for Skin Disease Images Using Variational Autoencoder


Jul 24, 2018
Yuchen Lu, Peng Xu

* 8 pages, 2 figures, submitted to ISIC Skin Image Analysis Workshop and Challenge at MICCAI 2018 

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