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Workshop
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Smoothed-SGDmax: A Stability-Inspired Algorithm to Improve Adversarial Generalization
Jiancong Xiao · Jiawei Zhang · Zhiquan Luo · Asuman Ozdaglar
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Poster
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Thu 9:00
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The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models
Conglong Li · Minjia Zhang · Yuxiong He
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Workshop
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Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning
Sanghwan Kim · Lorenzo Noci · Antonio Orvieto · Thomas Hofmann
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Workshop
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Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability
Alex Damian · Eshaan Nichani · Jason Lee
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Poster
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Tue 14:00
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Learning Deep Input-Output Stable Dynamics
Ryosuke Kojima · Yuji Okamoto
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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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Poster
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Wed 9:00
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A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases
James Harrison · Luke Metz · Jascha Sohl-Dickstein
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Poster
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Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability
Peisong Wen · Qianqian Xu · Zhiyong Yang · Yuan He · Qingming Huang
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Poster
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Tue 14:00
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Understanding the Generalization Benefit of Normalization Layers: Sharpness Reduction
Kaifeng Lyu · Zhiyuan Li · Sanjeev Arora
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Poster
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Can Adversarial Training Be Manipulated By Non-Robust Features?
Lue Tao · Lei Feng · Hongxin Wei · Jinfeng Yi · Sheng-Jun Huang · Songcan Chen
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Poster
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Wed 14:00
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On the generalization of learning algorithms that do not converge
Nisha Chandramoorthy · Andreas Loukas · Khashayar Gatmiry · Stefanie Jegelka
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Poster
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Wed 9:00
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coVariance Neural Networks
Saurabh Sihag · Gonzalo Mateos · Corey McMillan · Alejandro Ribeiro
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