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213 Results
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Poster
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Thu 14:00 |
Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes Alessio Mazzetto · Cristina Menghini · Andrew Yuan · Eli Upfal · Stephen Bach |
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Poster
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Wed 14:00 |
Data-Efficient Augmentation for Training Neural Networks Tian Yu Liu · Baharan Mirzasoleiman |
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Workshop
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Can you label less by using out-of-domain data? Active & Transfer Learning with Few-shot Instructions Rafal Kocielnik · Sara Kangaslahti · Shrimai Prabhumoye · Meena Hari · Michael Alvarez · Anima Anandkumar |
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Poster
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Teach Less, Learn More: On the Undistillable Classes in Knowledge Distillation Yichen Zhu · Ning Liu · Zhiyuan Xu · Xin Liu · Weibin Meng · Louis Wang · Zhicai Ou · Jian Tang |
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Poster
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Wed 14:00 |
Robust Models are less Over-Confident Julia Grabinski · Paul Gavrikov · Janis Keuper · Margret Keuper |
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Workshop
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Fri 6:45 |
Learning Causal Structures and Causal Representations from Data Peter Spirtes |
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Workshop
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Offline Policy Evaluation for Reinforcement Learning with Adaptively Collected Data Sunil Madhow · Dan Qiao · Yu-Xiang Wang |
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Workshop
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Learning to Continually Learn with Topological Regularization Tananun Songdechakraiwut · Xiaoshuang Yin · Barry Van Veen |
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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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Thu 9:00 |
BagFlip: A Certified Defense Against Data Poisoning Yuhao Zhang · Aws Albarghouthi · Loris D'Antoni |
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Poster
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Tue 14:00 |
Private Synthetic Data for Multitask Learning and Marginal Queries Giuseppe Vietri · Cedric Archambeau · Sergul Aydore · William Brown · Michael Kearns · Aaron Roth · Ankit Siva · Shuai Tang · Steven Wu |