Summary of Understanding Simplicity Bias Towards Compositional Mappings Via Learning Dynamics, by Yi Ren et al.
Understanding Simplicity Bias towards Compositional Mappings via Learning Dynamicsby Yi Ren, Danica J. SutherlandFirst submitted…
Understanding Simplicity Bias towards Compositional Mappings via Learning Dynamicsby Yi Ren, Danica J. SutherlandFirst submitted…
Optimization and Generalization Guarantees for Weight Normalizationby Pedro Cisneros-Velarde, Zhijie Chen, Sanmi Koyejo, Arindam BanerjeeFirst…
Online Learning Of Expanding Graphsby Samuel Rey, Bishwadeep Das, Elvin IsufiFirst submitted to arxiv on:…
In-depth Analysis of Low-rank Matrix Factorisation in a Federated Settingby Constantin Philippenko, Kevin Scaman, Laurent…
Explaining Datasets in Words: Statistical Models with Natural Language Parametersby Ruiqi Zhong, Heng Wang, Dan…
ReGentS: Real-World Safety-Critical Driving Scenario Generation Made Stableby Yuan Yin, Pegah Khayatan, Éloi Zablocki, Alexandre…
Tuning-Free Online Robust Principal Component Analysis through Implicit Regularizationby Lakshmi Jayalal, Gokularam Muthukrishnan, Sheetal KalyaniFirst…
Dynamic Decoupling of Placid Terminal Attractor-based Gradient Descent Algorithmby Jinwei Zhao, Marco Gori, Alessandro Betti,…
SVFit: Parameter-Efficient Fine-Tuning of Large Pre-Trained Models Using Singular Valuesby Chengwei Sun, Jiwei Wei, Yujia…
Input Space Mode Connectivity in Deep Neural Networksby Jakub Vrabel, Ori Shem-Ur, Yaron Oz, David…