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Workshop
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Spectral Robustness Analysis of Deep Imitation Learning
Ezgi Korkmaz
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Workshop
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Fri 9:30
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Deep-learning-based characterization of glucose biomarkers to identify type 2 diabetes, prediabetes, and healthy individuals
Sina Akbarian · Qayam Jetha · Jouhyun Jeon
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Poster
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Tue 14:00
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Surprising Instabilities in Training Deep Networks and a Theoretical Analysis
Yuxin Sun · DONG LAO · Ganesh Sundaramoorthi · Anthony Yezzi
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Workshop
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Why are deep learning-based models of geophysical turbulence long-term unstable?
Ashesh Chattopadhyay · Pedram Hassanzadeh
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Poster
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Analyzing Sharpness along GD Trajectory: Progressive Sharpening and Edge of Stability
Zixuan Wang · Zhouzi Li · Jian Li
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Workshop
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Multimodal deep transfer learning for the analysis of optical coherence tomography scans and retinal fundus photographs
Zoi Tsangalidou · Edwin Fong · Josefine Vilsbøll Sundgaard · Trine J Abrahamsen · Kajsa Kvist
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Poster
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Tue 14:00
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Pyramid Attention For Source Code Summarization
Lei Chai · Ming LI
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Poster
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Tue 9:00
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Theoretical analysis of deep neural networks for temporally dependent observations
Mingliang Ma · Abolfazl Safikhani
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Poster
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Wed 14:00
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The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning
Zixin Wen · Yuanzhi Li
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Poster
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Wed 9:00
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Free Probability for predicting the performance of feed-forward fully connected neural networks
Reda CHHAIBI · Tariq Daouda · Ezechiel Kahn
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Poster
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Wed 14:00
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Data-Efficient Augmentation for Training Neural Networks
Tian Yu Liu · Baharan Mirzasoleiman
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Poster
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Wed 14:00
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Deep Model Reassembly
Xingyi Yang · Daquan Zhou · Songhua Liu · Jingwen Ye · Xinchao Wang
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