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Workshop
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SGD and Weight Decay Secretly Minimize the Rank of Your Neural Network
Tomer Galanti · Zachary Siegel · Aparna Gupte · Tomaso Poggio
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Workshop
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Sun 12:00
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Improving Analog Neural Network Robustness: A Noise-Agnostic Approach with Explainable Regularizations
Alice Duque · Pedro Freire · Egor Manuylovich · Sergei K. Turitsyn · Jaroslaw Prilepsky · Dmitrii Stoliarov
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Workshop
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Optimizing Attention with Mirror Descent: Generalized Max-Margin Token Selection
Aaron Alvarado Kristanto Julistiono · Davoud Ataee Tarzanagh · Navid Azizan
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Workshop
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Adversarially-robust representation learning through spectral regularization of features
Sheng Yang · Jacob Zavatone-Veth · Cengiz Pehlevan
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Workshop
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Theoretical Insights into Line Graph Transformation on Graph Learning
Fan Yang · Xingyue Huang
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Workshop
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Sun 12:00
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Regularizing the Infinite: Improved Generalization Performance with Deep Equilibrium Models
Babak Rahmani · Jannes Gladrow · Kirill Kalinin · Heiner Kremer · Christos Gkantsidis · Hitesh Ballani
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Workshop
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Structured Regularization on the SPD Manifold
Andrew Cheng · Melanie Weber
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Workshop
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Noise Stability Optimization for Finding Flat Minima: A Hessian-based Regularization Approach
Hongyang Zhang · Dongyue Li · Zhenshuo Zhang
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Workshop
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Dynamic Curriculum Regularization for Enhanced Training of Physics-Informed Neural Networks
Callum Duffy · Gergana V Velikova
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Workshop
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Cream: Consistency Regularized Self-Rewarding Language Models
Zhaoyang Wang · Weilei He · Zhiyuan Liang · Xuchao Zhang · Chetan Bansal · Ying Wei · Weitong Zhang · Huaxiu Yao
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Workshop
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Learning the Regularization Strength for Deep Fine-Tuning via a Data-Emphasized Variational Objective
Ethan Harvey · Mikhail Petrov · Michael Hughes
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Workshop
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Sat 14:00
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On Using Optimal Transport Distances to Regularize Representation Learning
Marco Cuturi
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