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Conference on Neural Information Processing Systems (NeurIPS), 2019


Date
déc. 8, 2019 — déc. 14, 2019
Évènement
2019 NeurIPS
URL
https://nips.cc/Conferences/2019
Date de soumission
mai 23, 2019
Date de décision finale
sept. 4, 2019
Lieu
Vancouver, Canada

Publications

Adaptive Cross-Modal Few-shot Learning. Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro. At Conference on Neural Information Processing Systems (NeurIPS),  2019.

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Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates. Jeffrey Negrea, Mahdi Haghifam, Gintare Karolina Dziugaite, Ashish Khisti, Daniel M. Roy. At Conference on Neural Information Processing Systems (NeurIPS),  2019.

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Learning Reward Machines for Partially Observable Reinforcement Learning. Rodrigo Toro Icarte, Ethan Waldie, Toryn Q. Klassen, Richard Valenzano, Margarita P. Castro, Sheila A. McIlraith. At Conference on Neural Information Processing Systems (NeurIPS),  2019.

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Neural Multisensory Scene Inference. Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher Pal, Sungjin Ahn. At Conference on Neural Information Processing Systems (NeurIPS),  2019.

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On Adversarial Mixup Resynthesis. Christopher Beckham, Sina Honari, Vikas Verma, Alex Lamb, Farnoosh Ghadiri, R Devon Hjelm, Yoshua Bengio, Christopher Pal. At Conference on Neural Information Processing Systems (NeurIPS),  2019.

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Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates. Sharan Vaswani, Aaron Mishkin, Issam H. Laradji, Mark Schmidt, Gauthier Gidel, Simon Lacoste-Julien. At Conference on Neural Information Processing Systems (NeurIPS),  2019.

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Real-Time Reinforcement Learning. Simon Ramstedt, Christopher Pal. At Conference on Neural Information Processing Systems (NeurIPS),  2019.

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Reducing Noise in GAN Training with Variance Reduced Extragradient. Tatjana Chavdarova, Gauthier Gidel, François Fleuret, Simon Lacoste-Julien. At Conference on Neural Information Processing Systems (NeurIPS),  2019.

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CLOSURE: Assessing Systematic Generalization of CLEVR models. Dzmitry Bahdanau, Harm de Vries, Timothy J. O'Donnell, Philippe Beaudoin, Yoshua Bengio, Aaron Courville, Shikhar Murty. At Workshop at the Neural Information Processing Systems (NeurIPS),  2019.

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Neocortical plasticity: an unsupervised cake but no free lunch. Eilif Muller, Philippe Beaudoin. At Workshop at the Neural Information Processing Systems (NeurIPS),  2019.

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Objects of violence: synthetic data for practical ML in human rights investigations. Lachlan Kermode, Jan Freyberg, Alican Akturk, Robert Trafford, Denis Kocetkov, Rafael Pardinas, Eyal Weizman, Julien Cornebise. At Workshop at the Neural Information Processing Systems (NeurIPS),  2019.

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Retrieving Signals in the Frequency Domain with Deep Complex Extractors. Chiheb Trabelsi, Olexa Bilaniuk, Ousmane Amadou Dia, Ying Zhang, Mirco Ravanelli, Jonathan Binas, Negar Rostamzadeh, Christopher Pal. At Workshop at the Neural Information Processing Systems (NeurIPS),  2019.

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Tackling Climate Change with Machine Learning. David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Luccioni, Tegan Maharaj, S. Karthik Mukkavilli, Konrad P. Kording, Carla Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer Chayes, Yoshua Bengio, Evan D. Sherwin. At Workshop at the Neural Information Processing Systems (NeurIPS),  2019.

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Class-Based Styling: Real-time Localized Style Transfer with Semantic Segmentation. Lironne Kurzman, David Vazquez, Issam H. Laradji. At Women in Machine Learning (WiML),  2019.

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Knowledge Hypergraphs: Prediction Beyond Binary Relations. Bahare Fatemi, Perouz Taslakian, David Vazquez, David Poole. At Women in Machine Learning (WiML),  2019.

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Linear Mode Connectivity and the Lottery Ticket Hypothesis. Jonathan Frankle, Gintare Karolina Dziugaite, Daniel M. Roy, Michael Carbin. At Women in Machine Learning (WiML),  2019.

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