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22 Results
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Panel
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Thu 17:45 |
Panel 6B-2: Depth is More… & Benign Overfitting in… Yuan Cao · Shen-Huan Lyu |
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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 9:00 |
On the Generalization Power of the Overfitted Three-Layer Neural Tangent Kernel Model Peizhong Ju · Xiaojun Lin · Ness Shroff |
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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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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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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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Wed 14:00 |
Adversarial Unlearning: Reducing Confidence Along Adversarial Directions Amrith Setlur · Benjamin Eysenbach · Virginia Smith · Sergey Levine |
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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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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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Wed 9:00 |
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training Pau de Jorge Aranda · Adel Bibi · Riccardo Volpi · Amartya Sanyal · Philip Torr · Gregory Rogez · Puneet Dokania |
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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 |
Learning sparse features can lead to overfitting in neural networks Leonardo Petrini · Francesco Cagnetta · Eric Vanden-Eijnden · Matthieu Wyart |