Summary of Symmetry Breaking in Neural Network Optimization: Insights From Input Dimension Expansion, by Jun-jie Zhang et al.
Symmetry Breaking in Neural Network Optimization: Insights from Input Dimension Expansionby Jun-Jie Zhang, Nan Cheng,…
Symmetry Breaking in Neural Network Optimization: Insights from Input Dimension Expansionby Jun-Jie Zhang, Nan Cheng,…
Length Desensitization in Direct Preference Optimizationby Wei Liu, Yang Bai, Chengcheng Han, Rongxiang Weng, Jun…
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Programming Refusal with Conditional Activation Steeringby Bruce W. Lee, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Erik…
Machine Learning Based Optimal Design of Fibrillar Adhesivesby Mohammad Shojaeifard, Matteo Ferraresso, Alessandro Lucantonio, Mattia…
Input Space Mode Connectivity in Deep Neural Networksby Jakub Vrabel, Ori Shem-Ur, Yaron Oz, David…
CoBo: Collaborative Learning via Bilevel Optimizationby Diba Hashemi, Lie He, Martin JaggiFirst submitted to arxiv…