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60 Results
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Poster
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Tue 14:00 |
Are All Losses Created Equal: A Neural Collapse Perspective Jinxin Zhou · Chong You · Xiao Li · Kangning Liu · Sheng Liu · Qing Qu · Zhihui Zhu |
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Poster
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Thu 14:00 |
Characterization of Excess Risk for Locally Strongly Convex Population Risk Mingyang Yi · Ruoyu Wang · Zhi-Ming Ma |
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Poster
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Tue 14:00 |
Differentially Private Online-to-batch for Smooth Losses Qinzi Zhang · Hoang Tran · Ashok Cutkosky |
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Poster
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Tue 14:00 |
Pay attention to your loss : understanding misconceptions about Lipschitz neural networks Louis Béthune · Thibaut Boissin · Mathieu Serrurier · Franck Mamalet · Corentin Friedrich · Alberto Gonzalez Sanz |
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Poster
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Thu 14:00 |
Is L2 Physics Informed Loss Always Suitable for Training Physics Informed Neural Network? Chuwei Wang · Shanda Li · Di He · Liwei Wang |
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Poster
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Wed 9:00 |
AdaFocal: Calibration-aware Adaptive Focal Loss Arindam Ghosh · Thomas Schaaf · Matthew Gormley |
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Poster
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Thu 9:00 |
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors Ravid Shwartz-Ziv · Micah Goldblum · Hossein Souri · Sanyam Kapoor · Chen Zhu · Yann LeCun · Andrew Wilson |
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Poster
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Tue 9:00 |
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective Chanwoo Park · Sangdoo Yun · Sanghyuk Chun |
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Poster
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Tue 14:00 |
Understanding Square Loss in Training Overparametrized Neural Network Classifiers Tianyang Hu · Jun WANG · Wenjia Wang · Zhenguo Li |
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Poster
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An Investigation into Whitening Loss for Self-supervised Learning Xi Weng · Lei Huang · Lei Zhao · Rao Anwer · Salman Khan · Fahad Shahbaz Khan |
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Poster
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Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses Yuzhou Cao · Tianchi Cai · Lei Feng · Lihong Gu · Jinjie GU · Bo An · Gang Niu · Masashi Sugiyama |
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Poster
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Tue 9:00 |
Understanding Deep Contrastive Learning via Coordinate-wise Optimization Yuandong Tian |