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160 Results
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Poster
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Fri 8:30 |
Antipodes of Label Differential Privacy: PATE and ALIBI Mani Malek Esmaeili · Ilya Mironov · Karthik Prasad · Igor Shilov · Florian Tramer |
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Poster
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Thu 8:30 |
Local Differential Privacy for Regret Minimization in Reinforcement Learning Evrard Garcelon · Vianney Perchet · Ciara Pike-Burke · Matteo Pirotta |
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Poster
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Thu 0:30 |
Re-ranking for image retrieval and transductive few-shot classification Xi SHEN · Yang Xiao · Shell Xu Hu · Othman Sbai · Mathieu Aubry |
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Datasets and Benchmarks
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Are We Learning Yet? A Meta Review of Evaluation Failures Across Machine Learning Thomas Liao · Rohan Taori · Deborah Raji · Ludwig Schmidt |
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Poster
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Wed 0:30 |
Exploiting Domain-Specific Features to Enhance Domain Generalization Manh-Ha Bui · Toan Tran · Anh Tran · Dinh Phung |
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Poster
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Thu 16:30 |
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction Yaqing Wang · Abulikemu Abuduweili · Quanming Yao · Dejing Dou |
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Oral
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Fri 16:00 |
Moser Flow: Divergence-based Generative Modeling on Manifolds Noam Rozen · Aditya Grover · Maximilian Nickel · Yaron Lipman |
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Poster
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Tue 16:30 |
argmax centroid Chengyue Gong · Mao Ye · Qiang Liu |
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Poster
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Tue 8:30 |
Moser Flow: Divergence-based Generative Modeling on Manifolds Noam Rozen · Aditya Grover · Maximilian Nickel · Yaron Lipman |
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Workshop
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Mon 6:00 |
Machine Learning and the Physical Sciences Anima Anandkumar · Kyle Cranmer · Mr. Prabhat · Lenka Zdeborová · Atilim Gunes Baydin · Juan Carrasquilla · Emine Kucukbenli · Gilles Louppe · Benjamin Nachman · Brian Nord · Savannah Thais |
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Poster
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Tue 16:30 |
Learning where to learn: Gradient sparsity in meta and continual learning Johannes von Oswald · Dominic Zhao · Seijin Kobayashi · Simon Schug · Massimo Caccia · Nicolas Zucchet · João Sacramento |
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Poster
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Tue 16:30 |
The Role of Global Labels in Few-Shot Classification and How to Infer Them Ruohan Wang · Massimiliano Pontil · Carlo Ciliberto |