Double Descent Demystified: Identifying, Interpreting & Ablating the
Sources of a Deep Learning Puzzle

Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle

24 March 2023

Rylan Schaeffer

Zachary Robertson

Akhilan Boopathy

Kateryna Pistunova

Ila Rani Fiete

Oluwasanmi Koyejo

Papers citing "Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle"

7 / 7 papers shown

Title
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning Yupei Li M. Milling Björn Schuller AI4CE 107 0 0 27 Mar 2025
How more data can hurt: Instability and regularization in next-generation reservoir computing Yuanzhao Zhang Edmilson Roque dos Santos Sean P. Cornelius 79 2 0 28 Jan 2025
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning Liangzu Peng Juan Elenter Joshua Agterberg Alejandro Ribeiro René Vidal VLM CLL 46 1 0 01 Oct 2024
Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness Guangliang Liu Milad Afshari Xitong Zhang Zhiyu Xue Avrajit Ghosh Bidhan Bashyal Rongrong Wang K. Johnson 27 0 0 06 Jun 2024
Survival of the Fittest Representation: A Case Study with Modular Addition Xiaoman Delores Ding Zifan Carl Guo Eric J. Michaud Ziming Liu Max Tegmark 48 3 0 27 May 2024
High-dimensional analysis of ridge regression for non-identically distributed data with a variance profile Jérémie Bigot Issa-Mbenard Dabo Camille Male 31 4 0 29 Mar 2024
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks Blake Bordelon Abdulkadir Canatar C. Pehlevan 144 201 0 07 Feb 2020