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Identifying and Disentangling Spurious Features in Pretrained Image
  Representations

Identifying and Disentangling Spurious Features in Pretrained Image Representations

22 June 2023
R. Darbinyan
Hrayr Harutyunyan
Aram H. Markosyan
Hrant Khachatrian
ArXivPDFHTML

Papers citing "Identifying and Disentangling Spurious Features in Pretrained Image Representations"

4 / 4 papers shown
Title
UnLearning from Experience to Avoid Spurious Correlations
UnLearning from Experience to Avoid Spurious Correlations
Jeff Mitchell
Jesús Martínez del Rincón
Niall McLaughlin
36
0
0
04 Sep 2024
FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained
  Models in Few-Shot Learning
FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning
Kun Song
Huimin Ma
Bochao Zou
Huishuai Zhang
Weiran Huang
18
10
0
23 Oct 2023
Toy Models of Superposition
Toy Models of Superposition
Nelson Elhage
Tristan Hume
Catherine Olsson
Nicholas Schiefer
T. Henighan
...
Sam McCandlish
Jared Kaplan
Dario Amodei
Martin Wattenberg
C. Olah
AAML
MILM
120
316
0
21 Sep 2022
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
149
9,316
0
28 May 2015
1