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Be Persistent: Towards a Unified Solution for Mitigating Shortcuts in
  Deep Learning

Be Persistent: Towards a Unified Solution for Mitigating Shortcuts in Deep Learning

17 February 2024
H. M. Dolatabadi
S. Erfani
Christopher Leckie
    AAML
ArXivPDFHTML

Papers citing "Be Persistent: Towards a Unified Solution for Mitigating Shortcuts in Deep Learning"

4 / 4 papers shown
Title
Unsupervised Learning of Debiased Representations with Pseudo-Attributes
Unsupervised Learning of Debiased Representations with Pseudo-Attributes
Seonguk Seo
Joon-Young Lee
Bohyung Han
FaML
68
48
0
06 Aug 2021
Unlearnable Examples: Making Personal Data Unexploitable
Unlearnable Examples: Making Personal Data Unexploitable
Hanxun Huang
Xingjun Ma
S. Erfani
James Bailey
Yisen Wang
MIACV
136
190
0
13 Jan 2021
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
252
36,362
0
25 Aug 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,194
0
01 Sep 2014
1