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Principal Components Bias in Over-parameterized Linear Models, and its Manifestation in Deep Neural Networks
12 May 2021
Guy Hacohen
D. Weinshall
Re-assign community
ArXiv (abs)
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Papers citing
"Principal Components Bias in Over-parameterized Linear Models, and its Manifestation in Deep Neural Networks"
4 / 4 papers shown
Title
Many Perception Tasks are Highly Redundant Functions of their Input Data
Rahul Ramesh
Anthony Bisulco
Ronald W. DiTullio
Linran Wei
Vijay Balasubramanian
Kostas Daniilidis
Pratik Chaudhari
108
2
0
18 Jul 2024
Linear CNNs Discover the Statistical Structure of the Dataset Using Only the Most Dominant Frequencies
Hannah Pinson
Joeri Lenaerts
V. Ginis
53
3
0
03 Mar 2023
Simplicity Bias in 1-Hidden Layer Neural Networks
Depen Morwani
Jatin Batra
Prateek Jain
Praneeth Netrapalli
103
21
0
01 Feb 2023
When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics
Iuliia Pliushch
Martin Mundt
Nicolas Lupp
Visvanathan Ramesh
85
12
0
19 May 2021
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