Summary of Ted: Accelerate Model Training by Internal Generalization, By Jinying Xiao et al.
TED: Accelerate Model Training by Internal Generalizationby Jinying Xiao, Ping Li, Jie NieFirst submitted to…
TED: Accelerate Model Training by Internal Generalizationby Jinying Xiao, Ping Li, Jie NieFirst submitted to…
Linear Convergence of Independent Natural Policy Gradient in Games with Entropy Regularizationby Youbang Sun, Tao…
From Generalization Analysis to Optimization Designs for State Space Modelsby Fusheng Liu, Qianxiao LiFirst submitted…
AB-Training: A Communication-Efficient Approach for Distributed Low-Rank Learningby Daniel Coquelin, Katherina Flügel, Marie Weiel, Nicholas…
Potential Energy based Mixture Model for Noisy Label Learningby Zijia Wang, Wenbin Yang, Zhisong Liu,…
Network reconstruction via the minimum description length principleby Tiago P. PeixotoFirst submitted to arxiv on:…
Soft Preference Optimization: Aligning Language Models to Expert Distributionsby Arsalan Sharifnassab, Saber Salehkaleybar, Sina Ghiassian,…
Locality Regularized Reconstruction: Structured Sparsity and Delaunay Triangulationsby Marshall Mueller, James M. Murphy, Abiy TasissaFirst…
Derivative-based regularization for regressionby Enrico Lopedoto, Maksim Shekhunov, Vitaly Aksenov, Kizito Salako, Tillman WeydeFirst submitted…
A Self-explaining Neural Architecture for Generalizable Concept Learningby Sanchit Sinha, Guangzhi Xiong, Aidong ZhangFirst submitted…