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Mitigating deep double descent by concatenating inputs

Mitigating deep double descent by concatenating inputs

2 July 2021
John Chen
Qihan Wang
Anastasios Kyrillidis
    BDL
ArXiv (abs)PDFHTML

Papers citing "Mitigating deep double descent by concatenating inputs"

3 / 3 papers shown
Title
Post-Hoc Reversal: Are We Selecting Models Prematurely?
Post-Hoc Reversal: Are We Selecting Models Prematurely?
Rishabh Ranjan
Saurabh Garg
Mrigank Raman
Carlos Guestrin
Zachary Chase Lipton
78
0
0
11 Apr 2024
Understanding the Role of Optimization in Double Descent
Understanding the Role of Optimization in Double Descent
Chris Yuhao Liu
Jeffrey Flanigan
67
0
0
06 Dec 2023
DSD$^2$: Can We Dodge Sparse Double Descent and Compress the Neural
  Network Worry-Free?
DSD2^22: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free?
Victor Quétu
Enzo Tartaglione
89
7
0
02 Mar 2023
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