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Poster
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Thu 9:00 |
Learning sparse features can lead to overfitting in neural networks Leonardo Petrini · Francesco Cagnetta · Eric Vanden-Eijnden · Matthieu Wyart |
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Poster
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Thu 9:00 |
Benign Overfitting in Two-layer Convolutional Neural Networks Yuan Cao · Zixiang Chen · Misha Belkin · Quanquan Gu |
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Poster
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Thu 9:00 |
Emergent Communication: Generalization and Overfitting in Lewis Games Mathieu Rita · Corentin Tallec · Paul Michel · Jean-Bastien Grill · Olivier Pietquin · Emmanuel Dupoux · Florian Strub |
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Poster
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Thu 14:00 |
WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting Youngin Cho · Daejin Kim · DONGMIN KIM · MOHAMMAD AZAM KHAN · Jaegul Choo |
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Poster
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Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation Yixiong Zou · Shanghang Zhang · Yuhua Li · Ruixuan Li |
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Poster
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Thu 9:00 |
Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models Kushal Tirumala · Aram Markosyan · Luke Zettlemoyer · Armen Aghajanyan |
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Poster
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Thu 14:00 |
NeuForm: Adaptive Overfitting for Neural Shape Editing Connor Lin · Niloy Mitra · Gordon Wetzstein · Leonidas Guibas · Paul Guerrero |
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Poster
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Tue 14:00 |
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning Bat-Sheva Einbinder · Yaniv Romano · Matteo Sesia · Yanfei Zhou |
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Poster
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Tue 14:00 |
What You See is What You Get: Principled Deep Learning via Distributional Generalization Bogdan Kulynych · Yao-Yuan Yang · Yaodong Yu · Jarosław Błasiok · Preetum Nakkiran |
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Poster
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Tue 9:00 |
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting Chengyu Dong · Liyuan Liu · Jingbo Shang |
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Poster
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Thu 14:00 |
Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting Neil Mallinar · James Simon · Amirhesam Abedsoltan · Parthe Pandit · Misha Belkin · Preetum Nakkiran |
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Poster
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Wed 14:00 |
Adversarial Unlearning: Reducing Confidence Along Adversarial Directions Amrith Setlur · Benjamin Eysenbach · Virginia Smith · Sergey Levine |