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12 Results
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Poster
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Wed 10:30 |
Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect Yuqing Wang · Minshuo Chen · Tuo Zhao · Molei Tao |
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Spotlight
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Tue 10:30 |
What Happens after SGD Reaches Zero Loss? --A Mathematical Framework Zhiyuan Li · Tianhao Wang · Sanjeev Arora |
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Poster
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Tue 10:30 |
Understanding Dimensional Collapse in Contrastive Self-supervised Learning Li Jing · Pascal Vincent · Yann LeCun · Yuandong Tian |
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Poster
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Tue 10:30 |
What Happens after SGD Reaches Zero Loss? --A Mathematical Framework Zhiyuan Li · Tianhao Wang · Sanjeev Arora |
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Poster
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Tue 18:30 |
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution Ananya Kumar · Aditi Raghunathan · Robbie Jones · Tengyu Ma · Percy Liang |
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Oral
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Wed 9:00 |
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution Ananya Kumar · Aditi Raghunathan · Robbie Jones · Tengyu Ma · Percy Liang |
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Poster
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Mon 10:30 |
Noisy Feature Mixup Soon Hoe Lim · N. Benjamin Erichson · Francisco Utrera · Winnie Xu · Michael W Mahoney |
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Poster
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Mon 18:30 |
An Unconstrained Layer-Peeled Perspective on Neural Collapse Wenlong Ji · Yiping Lu · Yiliang Zhang · Zhun Deng · Weijie J Su |
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Poster
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Wed 10:30 |
Implicit Bias of MSE Gradient Optimization in Underparameterized Neural Networks Benjamin Bowman · Guido Montufar |
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Poster
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Mon 18:30 |
Training invariances and the low-rank phenomenon: beyond linear networks Thien Le · Stefanie Jegelka |
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Poster
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Mon 10:30 |
Stochastic Training is Not Necessary for Generalization Jonas Geiping · Micah Goldblum · Phil Pope · Michael Moeller · Tom Goldstein |
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Poster
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Mon 18:30 |
Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization Tolga Ergen · Arda Sahiner · Batu Ozturkler · John M Pauly · Morteza Mardani · Mert Pilanci |