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38 Results
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Poster
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Thu 1:00 |
The inductive bias of ReLU networks on orthogonally separable data Mary Phuong · Christoph H Lampert |
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Poster
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Thu 9:00 |
Noise or Signal: The Role of Image Backgrounds in Object Recognition Kai Xiao · Logan Engstrom · Andrew Ilyas · Aleksander Madry |
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Poster
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Tue 17:00 |
A unifying view on implicit bias in training linear neural networks Chulhee Yun · Shankar Krishnan · Hossein Mobahi |
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Poster
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Tue 9:00 |
Direction Matters: On the Implicit Bias of Stochastic Gradient Descent with Moderate Learning Rate Jingfeng Wu · Difan Zou · vladimir braverman · Quanquan Gu |
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Poster
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Thu 9:00 |
Rethinking Soft Labels for Knowledge Distillation: A Bias–Variance Tradeoff Perspective Helong Zhou · Liangchen Song · Jiajie Chen · Ye Zhou · Guoli Wang · Junsong Yuan · Qian Zhang |
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Poster
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Tue 1:00 |
A Distributional Approach to Controlled Text Generation Muhammad Khalifa · Hady Elsahar · Marc Dymetman |
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Poster
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Wed 9:00 |
Learning to Represent Action Values as a Hypergraph on the Action Vertices Arash Tavakoli · Mehdi Fatemi · Petar Kormushev |
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Poster
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Tue 9:00 |
Physics-aware, probabilistic model order reduction with guaranteed stability Sebastian Kaltenbach · PS Koutsourelakis |
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Poster
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Tue 17:00 |
Understanding the role of importance weighting for deep learning Da Xu · Yuting Ye · Chuanwei Ruan |
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Poster
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Tue 17:00 |
Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability Jeremy Cohen · Simran Kaur · Yuanzhi Li · Zico Kolter · Ameet Talwalkar |
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Poster
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Thu 9:00 |
Variational Information Bottleneck for Effective Low-Resource Fine-Tuning Rabeeh Karimi Mahabadi · Yonatan Belinkov · James Henderson |
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Workshop
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Fri 7:00 |
Synthetic Data Generation: Quality, Privacy, Bias Sergul Aydore · Krishnaram Kenthapadi · Haipeng Chen · Edward Choi · Jamie Hayes · Mario Fritz · Rachel Cummings · Krishnaram Kenthapadi |