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2207.06569
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Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting
14 July 2022
Neil Rohit Mallinar
James B. Simon
Amirhesam Abedsoltan
Parthe Pandit
M. Belkin
Preetum Nakkiran
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Papers citing
"Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting"
8 / 8 papers shown
Title
Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon
USVSN Sai Prashanth
Alvin Deng
Kyle O'Brien
Jyothir S V
Mohammad Aflah Khan
...
Jacob Ray Fuehne
Stella Biderman
Tracy Ke
Katherine Lee
Naomi Saphra
104
12
0
25 Jun 2024
When does compositional structure yield compositional generalization? A kernel theory
Samuel Lippl
Kim Stachenfeld
NAI
CoGe
145
8
0
26 May 2024
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds, and Benign Overfitting
Frederic Koehler
Lijia Zhou
Danica J. Sutherland
Nathan Srebro
61
56
0
17 Jun 2021
Early-stopped neural networks are consistent
Ziwei Ji
Justin D. Li
Matus Telgarsky
32
37
0
10 Jun 2021
Explaining Neural Scaling Laws
Yasaman Bahri
Ethan Dyer
Jared Kaplan
Jaehoon Lee
Utkarsh Sharma
43
256
0
12 Feb 2021
Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS
Lin Chen
Sheng Xu
110
94
0
22 Sep 2020
Surprises in High-Dimensional Ridgeless Least Squares Interpolation
Trevor Hastie
Andrea Montanari
Saharon Rosset
Robert Tibshirani
122
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
168
1,628
0
28 Dec 2018
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