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Mitigating deep double descent by concatenating inputs

Mitigating deep double descent by concatenating inputs

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?
DSD2^2: 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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