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Poster
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Tue 18:30 |
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training Anh Bui · Trung Le · Quan Tran · He Zhao · Dinh Phung |
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Workshop
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Fri 5:52 |
Emergent communication in human-machine games Nicolo Brandizzi · Luca Iocchi |
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Poster
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Mon 10:30 |
Illiterate DALL-E Learns to Compose Gautam Singh · Fei Deng · Sungjin Ahn |
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Poster
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Thu 18:30 |
Parallel Training of GRU Networks with a Multi-Grid Solver for Long Sequences Gordon Euhyun Moon · Eric Cyr |
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| Thu 4:00 |
Machine learning benefits for developing nations Natnael Mamuye Tachbele · Belachew Alemayehu |
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Workshop
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Incentivizing Empirical Science in Machine Learning: Problems and Proposals Preetum Nakkiran · Misha Belkin |
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Poster
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Tue 10:30 |
Fairness Guarantees under Demographic Shift Stephen Giguere · Blossom Metevier · Bruno Silva · Yuriy Brun · Philip Thomas · Scott Niekum |
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Oral Session
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Wed 9:00 |
Oral 3: Learning from distribution shift |
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Invited Talk
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Tue 17:00 |
‘Affordances’ for Machine Learning Jenny Davis |
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Workshop
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Rethinking Streaming Machine Learning Evaluation Shreya Shankar · Bernease Herman · Aditya Parameswaran |
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Workshop
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Fri 8:45 |
RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds Thibault de Surrel · Felix Hensel · Mathieu Carrière · Théo Lacombe · Yuichi Ike · Hiroaki Kurihara · Marc Glisse · Frederic Chazal |
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Oral
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Tue 2:15 |
Variational Inference for Discriminative Learning with Generative Modeling of Feature Incompletion Kohei Miyaguchi · Takayuki Katsuki · Akira Koseki · Toshiya Iwamori |