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2202.01459
Cited By
Concept Bottleneck Model with Additional Unsupervised Concepts
3 February 2022
Yoshihide Sawada
Keigo Nakamura
SSL
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Papers citing
"Concept Bottleneck Model with Additional Unsupervised Concepts"
16 / 16 papers shown
Title
If Concept Bottlenecks are the Question, are Foundation Models the Answer?
Nicola Debole
Pietro Barbiero
Francesco Giannini
Andrea Passerini
Stefano Teso
Emanuele Marconato
137
0
0
28 Apr 2025
Leakage and Interpretability in Concept-Based Models
Enrico Parisini
Tapabrata Chakraborti
Chris Harbron
Ben D. MacArthur
Christopher R. S. Banerji
40
0
0
18 Apr 2025
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens
Samuele Bortolotti
Emanuele Marconato
Paolo Morettin
Andrea Passerini
Stefano Teso
61
2
0
16 Feb 2025
CAT: Concept-level backdoor ATtacks for Concept Bottleneck Models
Songning Lai
Jiayu Yang
Yu Huang
Lijie Hu
Tianlang Xue
Zhangyi Hu
Jiaxu Li
Haicheng Liao
Yutao Yue
34
1
0
07 Oct 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
Jayneel Parekh
Quentin Bouniot
Pavlo Mozharovskyi
A. Newson
Florence dÁlché-Buc
SSL
63
1
0
01 Jul 2024
Semi-supervised Concept Bottleneck Models
Lijie Hu
Tianhao Huang
Huanyi Xie
Chenyang Ren
Zhengyu Hu
Lu Yu
Lu Yu
Ping Ma
Di Wang
57
4
0
27 Jun 2024
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models
Nishad Singhi
Jae Myung Kim
Karsten Roth
Zeynep Akata
48
1
0
02 May 2024
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning
F. Mumuni
A. Mumuni
AAML
37
5
0
11 Mar 2024
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
Sonia Laguna
Ricards Marcinkevics
Moritz Vandenhirtz
Julia E. Vogt
35
17
0
24 Jan 2024
Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement
Avani Gupta
Saurabh Saini
P. J. Narayanan
25
6
0
26 Nov 2023
Auxiliary Losses for Learning Generalizable Concept-based Models
Ivaxi Sheth
Samira Ebrahimi Kahou
32
24
0
18 Nov 2023
Take 5: Interpretable Image Classification with a Handful of Features
Thomas Norrenbrock
Marco Rudolph
Bodo Rosenhahn
FAtt
40
7
0
23 Mar 2023
Understanding and Enhancing Robustness of Concept-based Models
Sanchit Sinha
Mengdi Huai
Jianhui Sun
Aidong Zhang
AAML
28
18
0
29 Nov 2022
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification
Yue Yang
Artemis Panagopoulou
Shenghao Zhou
Daniel Jin
Chris Callison-Burch
Mark Yatskar
40
211
0
21 Nov 2022
C-SENN: Contrastive Self-Explaining Neural Network
Yoshihide Sawada
Keigo Nakamura
SSL
16
8
0
20 Jun 2022
Weakly Supervised Multi-task Learning for Concept-based Explainability
Catarina Belém
Vladimir Balayan
Pedro Saleiro
P. Bizarro
78
10
0
26 Apr 2021
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