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Contrastive Corpus Attribution for Explaining Representations
v1v2 (latest)

Contrastive Corpus Attribution for Explaining Representations

International Conference on Learning Representations (ICLR), 2022
30 September 2022
Christy Lin
Hugh Chen
Chanwoo Kim
Su-In Lee
    SSL
ArXiv (abs)PDFHTML

Papers citing "Contrastive Corpus Attribution for Explaining Representations"

5 / 5 papers shown
Title
Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability
Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations InterpretabilityInternational Conference on Learning Representations (ICLR), 2025
Zhiyu Zhu
Zhibo Jin
Jiayu Zhang
Nan Yang
Jiahao Huang
Jianlong Zhou
Fang Chen
235
2
0
16 Feb 2025
Explaining Representation Learning with Perceptual Components
Explaining Representation Learning with Perceptual Components
Yavuz Yarici
Kiran Kokilepersaud
Mohit Prabhushankar
Ghassan AlRegib
SSLFAtt
124
0
0
11 Jun 2024
ConPro: Learning Severity Representation for Medical Images using
  Contrastive Learning and Preference Optimization
ConPro: Learning Severity Representation for Medical Images using Contrastive Learning and Preference Optimization
Hong Nguyen
H. Nguyen
Melinda Y. Chang
Hieu H. Pham
Shrikanth Narayanan
Michael Pazzani
135
4
0
29 Apr 2024
CEIR: Concept-based Explainable Image Representation Learning
CEIR: Concept-based Explainable Image Representation Learning
Yan Cui
Shuhong Liu
Liuzhuozheng Li
Zhiyuan Yuan
SSLVLM
128
5
0
17 Dec 2023
Evaluating the Robustness of Interpretability Methods through
  Explanation Invariance and Equivariance
Evaluating the Robustness of Interpretability Methods through Explanation Invariance and EquivarianceNeural Information Processing Systems (NeurIPS), 2023
Jonathan Crabbé
M. Schaar
AAML
193
13
0
13 Apr 2023
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