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Incremental Residual Concept Bottleneck Models

Incremental Residual Concept Bottleneck Models

13 April 2024
Chenming Shang
Shiji Zhou
Hengyuan Zhang
Xinzhe Ni
Yujiu Yang
Yuwang Wang
ArXivPDFHTML

Papers citing "Incremental Residual Concept Bottleneck Models"

8 / 8 papers shown
Title
Interpretable Zero-shot Learning with Infinite Class Concepts
Interpretable Zero-shot Learning with Infinite Class Concepts
Zihan Ye
Shreyank N Gowda
Shiming Chen
Yaochu Jin
Kaizhu Huang
Xiaobo Jin
VLM
33
0
0
06 May 2025
COMIX: Compositional Explanations using Prototypes
COMIX: Compositional Explanations using Prototypes
S. Sivaprasad
D. Kangin
Plamen Angelov
Mario Fritz
61
0
0
10 Jan 2025
Discover and Cure: Concept-aware Mitigation of Spurious Correlation
Discover and Cure: Concept-aware Mitigation of Spurious Correlation
Shirley Wu
Mert Yuksekgonul
Linjun Zhang
James Y. Zou
65
54
0
01 May 2023
Concept Activation Regions: A Generalized Framework For Concept-Based
  Explanations
Concept Activation Regions: A Generalized Framework For Concept-Based Explanations
Jonathan Crabbé
M. Schaar
51
46
0
22 Sep 2022
GlanceNets: Interpretabile, Leak-proof Concept-based Models
GlanceNets: Interpretabile, Leak-proof Concept-based Models
Emanuele Marconato
Andrea Passerini
Stefano Teso
96
64
0
31 May 2022
Post-hoc Concept Bottleneck Models
Post-hoc Concept Bottleneck Models
Mert Yuksekgonul
Maggie Wang
James Y. Zou
133
182
0
31 May 2022
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
175
1,018
0
06 Mar 2020
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
Chih-Kuan Yeh
Been Kim
Sercan Ö. Arik
Chun-Liang Li
Tomas Pfister
Pradeep Ravikumar
FAtt
120
293
0
17 Oct 2019
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