Summary of Kernel Alignment For Unsupervised Feature Selection Via Matrix Factorization, by Ziyuan Lin and Deanna Needell
Kernel Alignment for Unsupervised Feature Selection via Matrix Factorizationby Ziyuan Lin, Deanna NeedellFirst submitted to…
Kernel Alignment for Unsupervised Feature Selection via Matrix Factorizationby Ziyuan Lin, Deanna NeedellFirst submitted to…
Auditing Fairness under Unobserved Confoundingby Yewon Byun, Dylan Sam, Michael Oberst, Zachary C. Lipton, Bryan…
Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix Itby Guoxuan Xia,…
Tensor network compressibility of convolutional modelsby Sukhbinder Singh, Saeed S. Jahromi, Roman OrusFirst submitted to…
Estimating Causal Effects with Double Machine Learning – A Method Evaluationby Jonathan Fuhr, Philipp Berens,…
A Bag of Tricks for Few-Shot Class-Incremental Learningby Shuvendu Roy, Chunjong Park, Aldi Fahrezi, Ali…
Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural…
Physics-Informed Diffusion Modelsby Jan-Hendrik Bastek, WaiChing Sun, Dennis M. KochmannFirst submitted to arxiv on: 21…
GLC++: Source-Free Universal Domain Adaptation through Global-Local Clustering and Contrastive Affinity Learningby Sanqing Qu, Tianpei…
A Multimodal Approach to Device-Directed Speech Detection with Large Language Modelsby Dominik Wagner, Alexander Churchill,…