Class-wise Activation Unravelling the Engima of Deep Double Descent

13 May 2024

Papers citing "Class-wise Activation Unravelling the Engima of Deep Double Descent"

10 / 10 papers shown

Title
Unraveling the Enigma of Double Descent: An In-depth Analysis through the Lens of Learned Feature Space Yufei Gu Xiaoqing Zheng T. Aste 48 3 0 20 Oct 2023
Sparse Double Descent: Where Network Pruning Aggravates Overfitting Zhengqi He Zeke Xie Quanzhi Zhu Zengchang Qin 109 27 0 17 Jun 2022
Robust Training under Label Noise by Over-parameterization Sheng Liu Zhihui Zhu Qing Qu Chong You NoLa OOD 48 108 0 28 Feb 2022
Classification vs regression in overparameterized regimes: Does the loss function matter? Vidya Muthukumar Adhyyan Narang Vignesh Subramanian M. Belkin Daniel J. Hsu A. Sahai 63 150 0 16 May 2020
A Brief Prehistory of Double Descent Marco Loog T. Viering A. Mey Jesse H. Krijthe David Tax 27 68 0 07 Apr 2020
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks Zitong Yang Yaodong Yu Chong You Jacob Steinhardt Yi-An Ma 55 183 0 26 Feb 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 451 4,662 0 23 Jan 2020
Surprises in High-Dimensional Ridgeless Least Squares Interpolation Trevor Hastie Andrea Montanari Saharon Rosset Robert Tibshirani 126 737 0 19 Mar 2019
Reconciling modern machine learning practice and the bias-variance trade-off M. Belkin Daniel J. Hsu Siyuan Ma Soumik Mandal 174 1,628 0 28 Dec 2018
Deep Learning and the Information Bottleneck Principle Naftali Tishby Noga Zaslavsky DRL 129 1,570 0 09 Mar 2015