ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.07478
  4. Cited By
GradMask: Reduce Overfitting by Regularizing Saliency

GradMask: Reduce Overfitting by Regularizing Saliency

16 April 2019
B. Simpson
Francis Dutil
Yoshua Bengio
Joseph Paul Cohen
    MedIm
ArXivPDFHTML

Papers citing "GradMask: Reduce Overfitting by Regularizing Saliency"

7 / 7 papers shown
Title
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks
Lorenz Linhardt
Klaus-Robert Muller
G. Montavon
AAML
29
7
0
12 Apr 2023
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
Yuyang Gao
Siyi Gu
Junji Jiang
S. Hong
Dazhou Yu
Liang Zhao
29
39
0
07 Dec 2022
The Importance of Background Information for Out of Distribution
  Generalization
The Importance of Background Information for Out of Distribution Generalization
Jupinder Parmar
Khaled Kamal Saab
Brian Pogatchnik
D. Rubin
Christopher Ré
OOD
21
0
0
17 Jun 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness
Optimizing Relevance Maps of Vision Transformers Improves Robustness
Hila Chefer
Idan Schwartz
Lior Wolf
ViT
35
38
0
02 Jun 2022
Towards Robust Classification Model by Counterfactual and Invariant Data
  Generation
Towards Robust Classification Model by Counterfactual and Invariant Data Generation
C. Chang
George Adam
Anna Goldenberg
OOD
CML
27
31
0
02 Jun 2021
Saliency is a Possible Red Herring When Diagnosing Poor Generalization
Saliency is a Possible Red Herring When Diagnosing Poor Generalization
J. Viviano
B. Simpson
Francis Dutil
Yoshua Bengio
Joseph Paul Cohen
FAtt
26
6
0
01 Oct 2019
Semantically Interpretable Activation Maps: what-where-how explanations
  within CNNs
Semantically Interpretable Activation Maps: what-where-how explanations within CNNs
Diego Marcos
Sylvain Lobry
D. Tuia
FAtt
MILM
19
26
0
18 Sep 2019
1