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Conference on Neural Information Processing Systems (NeurIPS), 2020


Date
déc. 6, 2020 — déc. 12, 2020
Évènement
2020 NeurIPS
URL
https://nips.cc/Conferences/2020
Date de soumission
juin 5, 2020
Date d'envoi des révisions
août 7, 2020
Date de réponse aux arbitres
août 13, 2020
Date de décision finale
sept. 26, 2020
Lieu
Virtual

Publications

Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization. Paul Barde, Julien Roy, Wonseok Jeon, Joelle Pineau, Christopher Pal, Derek Nowrouzezahrai. At Conference on Neural Information Processing Systems (NeurIPS),  2020.

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An empirical study of loss landscape geometry and evolution of the data-dependent Neural Tangent Kernel. Stanislav Fort, Gintare Karolina Dziugaite, Mansheej Paul, Sepideh Kharaghani, Daniel M. Roy, Surya Ganguli. At Conference on Neural Information Processing Systems (NeurIPS),  2020.

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Differentiable Causal Discovery from Interventional Data. Philippe Brouillard, Sébastien Lachapelle, Alexandre Lacoste, Simon Lacoste-Julien, Alexandre Drouin. At Conference on Neural Information Processing Systems (NeurIPS),  2020.

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In search of robust measures of generalization. Gintare Karolina Dziugaite, Alexandre Drouin, Brayden (Brady) Neal, Nitarshan Rajkumar, Ethan Victor Caballero, Linbo Wang, Ioannis Mitliagkas, Daniel M. Roy. At Conference on Neural Information Processing Systems (NeurIPS),  2020.

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Measuring Systematic Generalization in Neural Proof Generation with Transformers. Nicolas Gontier, Koustuv Sinha, Siva Reddy, Christopher Pal. At Conference on Neural Information Processing Systems (NeurIPS),  2020.

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Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning. Massimo Caccia, Pau Rodriguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Caccia, Issam H. Laradji, Irina Rish, Alexandre Lacoste, David Vazquez, Laurent Charlin. At Conference on Neural Information Processing Systems (NeurIPS),  2020.

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Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning. Julien Roy, Paul Barde, Félix G. Harvey, Derek Nowrouzezahrai, Christopher Pal. At Conference on Neural Information Processing Systems (NeurIPS),  2020.

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Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy-Gradient Iterative Algorithms. Mahdi Haghifam, Jeffrey Negrea, Ashish Khisti, Daniel M. Roy, Gintare Karolina Dziugaite. At Conference on Neural Information Processing Systems (NeurIPS),  2020.

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Synbols: Probing Learning Algorithms with Synthetic Datasets. Alexandre Lacoste, Pau Rodriguez, Frederic Branchaud, Parmida Atighhehchian, Massimo Caccia, Issam H. Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vazquez. At Conference on Neural Information Processing Systems (NeurIPS),  2020.

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Unsupervised Learning of Dense Visual Representations. Pedro O. Pinheiro, Amjad Almahairi, Ryan Benmalek, Florian Golemo, Aaron Courville. At Conference on Neural Information Processing Systems (NeurIPS),  2020.

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Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery. Issam H. Laradji, Pau Rodriguez, Alfredo Kalaitzis, David Vazquez, Ross Young, Ed Davey, Alexandre Lacoste. At Workshop at the Neural Information Processing Systems (NeurIPS),  2020.

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Like A Researcher Stating Broader Impact for the Very First Time. Grace Abuhamad, Claudel Rheault. At Workshop at the Neural Information Processing Systems (NeurIPS),  2020.

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Pruning Neural Networks at Initialization: Why Are We Missing the Mark? . Jonathan Frankle, Gintare Karolina Dziugaite, Daniel M. Roy, Michael Carbin. At Workshop at the Neural Information Processing Systems (NeurIPS),  2020.

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