Summary of Towards Better Generalization: Weight Decay Induces Low-rank Bias For Neural Networks, by Ke Chen et al.
Towards Better Generalization: Weight Decay Induces Low-rank Bias for Neural Networksby Ke Chen, Chugang Yi,…
Summary of Nonuniform Random Feature Models Using Derivative Information, by Konstantin Pieper and Zezhong Zhang and Guannan Zhang
Nonuniform random feature models using derivative informationby Konstantin Pieper, Zezhong Zhang, Guannan ZhangFirst submitted to…
Summary of Fairlyuncertain: a Comprehensive Benchmark Of Uncertainty in Algorithmic Fairness, by Lucas Rosenblatt and R. Teal Witter
FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairnessby Lucas Rosenblatt, R. Teal WitterFirst submitted…
Summary of Kolmogorov-arnold Network Autoencoders, by Mohammadamin Moradi et al.
Kolmogorov-Arnold Network Autoencodersby Mohammadamin Moradi, Shirin Panahi, Erik Bollt, Ying-Cheng LaiFirst submitted to arxiv on:…
Summary of On the Expressiveness and Spectral Bias Of Kans, by Yixuan Wang et al.
On the expressiveness and spectral bias of KANsby Yixuan Wang, Jonathan W. Siegel, Ziming Liu,…
Summary of Reducing Variance in Meta-learning Via Laplace Approximation For Regression Tasks, by Alfredo Reichlin et al.
Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasksby Alfredo Reichlin, Gustaf Tegnér, Miguel…
Summary of Attention Layers Provably Solve Single-location Regression, by Pierre Marion et al.
Attention layers provably solve single-location regressionby Pierre Marion, Raphaël Berthier, Gérard Biau, Claire BoyerFirst submitted…
Summary of Induced Covariance For Causal Discovery in Linear Sparse Structures, by Saeed Mohseni-sehdeh et al.
Induced Covariance for Causal Discovery in Linear Sparse Structuresby Saeed Mohseni-Sehdeh, Walid SaadFirst submitted to…
Summary of Helpsteer2-preference: Complementing Ratings with Preferences, by Zhilin Wang et al.
HelpSteer2-Preference: Complementing Ratings with Preferencesby Zhilin Wang, Alexander Bukharin, Olivier Delalleau, Daniel Egert, Gerald Shen,…
Summary of Gptreeo: An R Package For Continual Regression with Dividing Local Gaussian Processes, by Timo Braun et al.
GPTreeO: An R package for continual regression with dividing local Gaussian processesby Timo Braun, Anders…