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300 Results
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Workshop
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Fri 9:09 |
Don't Waste Data: Transfer Learning to Leverage All Data for Machine-Learnt Climate Model Emulation Raghul Parthipan · Damon Wischik |
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Workshop
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Don't Waste Data: Transfer Learning to Leverage All Data for Machine-Learnt Climate Model Emulation Raghul Parthipan · Damon Wischik |
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Poster
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Tue 9:00 |
Distinguishing Learning Rules with Brain Machine Interfaces Jacob Portes · Christian Schmid · James M Murray |
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Poster
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Tue 9:00 |
Modeling the Machine Learning Multiverse Samuel J. Bell · Onno Kampman · Jesse Dodge · Neil Lawrence |
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Poster
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Wed 14:00 |
Finding Naturally Occurring Physical Backdoors in Image Datasets Emily Wenger · Roma Bhattacharjee · Arjun Nitin Bhagoji · Josephine Passananti · Emilio Andere · Heather Zheng · Ben Zhao |
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Poster
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Tue 9:00 |
Convexity Certificates from Hessians Julien Klaus · Niklas Merk · Konstantin Wiedom · Sören Laue · Joachim Giesen |
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Poster
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Tue 9:00 |
Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning Jiachen T. Wang · Saeed Mahloujifar · Shouda Wang · Ruoxi Jia · Prateek Mittal |
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Tutorial
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Mon 11:00 |
Incentive-Aware Machine Learning: A Tale of Robustness, Fairness, Improvement, and Performativity Chara Podimata |
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Poster
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Wed 9:00 |
Neural Basis Models for Interpretability Filip Radenovic · Abhimanyu Dubey · Dhruv Mahajan |
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Poster
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Thu 14:00 |
Black-box coreset variational inference Dionysis Manousakas · Hippolyt Ritter · Theofanis Karaletsos |
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Poster
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Wed 9:00 |
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach Dennis Wei · Rahul Nair · Amit Dhurandhar · Kush Varshney · Elizabeth Daly · Moninder Singh |
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Poster
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Tue 14:00 |
Accelerating Certified Robustness Training via Knowledge Transfer Pratik Vaishnavi · Kevin Eykholt · Amir Rahmati |