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2007.04612
Cited By
Concept Bottleneck Models
9 July 2020
Pang Wei Koh
Thao Nguyen
Y. S. Tang
Stephen Mussmann
Emma Pierson
Been Kim
Percy Liang
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Papers citing
"Concept Bottleneck Models"
50 / 152 papers shown
Title
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection
Moritz Vandenhirtz
Julia E. Vogt
38
0
0
09 May 2025
Concept-Based Unsupervised Domain Adaptation
Xinyue Xu
Y. Hu
Hui Tang
Yi Qin
Lu Mi
Hao Wang
Xiaomeng Li
50
0
0
08 May 2025
PointExplainer: Towards Transparent Parkinson's Disease Diagnosis
Xuechao Wang
S. Nõmm
Junqing Huang
Kadri Medijainen
A. Toomela
Michael Ruzhansky
AAML
FAtt
26
0
0
04 May 2025
MERA: Multimodal and Multiscale Self-Explanatory Model with Considerably Reduced Annotation for Lung Nodule Diagnosis
Jiahao Lu
Chong Yin
Silvia Ingala
Kenny Erleben
M. Nielsen
S. Darkner
51
0
0
27 Apr 2025
Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization
Emiliano Penaloza
Tianyue H. Zhan
Laurent Charlin
Mateo Espinosa Zarlenga
51
0
0
25 Apr 2025
Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts
M. Zarlenga
Gabriele Dominici
Pietro Barbiero
Z. Shams
M. Jamnik
KELM
167
0
0
24 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
Independence Is Not an Issue in Neurosymbolic AI
Håkan Karlsson Faronius
Pedro Zuidberg Dos Martires
33
0
0
10 Apr 2025
Interactive Medical Image Analysis with Concept-based Similarity Reasoning
Ta Duc Huy
Sen Kim Tran
Phan Nguyen
Nguyen Hoang Tran
Tran Bao Sam
Anton Van Den Hengel
Zhibin Liao
Johan W. Verjans
Minh Nguyen Nhat To
Vu Minh Hieu Phan
53
0
0
10 Mar 2025
Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation
Tiansheng Wen
Yifei Wang
Zequn Zeng
Zhong Peng
Yudi Su
Xinyang Liu
Bo Chen
Hongwei Liu
Stefanie Jegelka
Chenyu You
CLL
66
3
0
03 Mar 2025
Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models
Itay Benou
Tammy Riklin-Raviv
67
0
0
27 Feb 2025
Large Language Models as Attribution Regularizers for Efficient Model Training
Davor Vukadin
Marin Šilić
Goran Delač
41
0
0
27 Feb 2025
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification
Guillaume Jeanneret
Loïc Simon
F. Jurie
ViT
49
0
0
24 Feb 2025
Understanding Fixed Predictions via Confined Regions
Connor Lawless
Tsui-Wei Weng
Berk Ustun
Madeleine Udell
48
0
0
22 Feb 2025
Concept Layers: Enhancing Interpretability and Intervenability via LLM Conceptualization
Or Raphael Bidusa
Shaul Markovitch
61
0
0
20 Feb 2025
DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery
Utkarsh Mall
Cheng Perng Phoo
Mia Chiquier
Bharath Hariharan
Kavita Bala
Carl Vondrick
79
1
0
17 Feb 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
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction
Leisheng Yu
Yanxiao Cai
Minxing Zhang
Xia Hu
FAtt
150
0
0
15 Feb 2025
Interpretable Failure Detection with Human-Level Concepts
Kien X. Nguyen
Tang Li
Xi Peng
50
0
0
07 Feb 2025
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment
Harrish Thasarathan
Julian Forsyth
Thomas Fel
M. Kowal
Konstantinos G. Derpanis
111
7
0
06 Feb 2025
CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models
Amy Rafferty
Rishi Ramaesh
Ajitha Rajan
MedIm
AAML
56
0
0
04 Feb 2025
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable
Shreyash Arya
Sukrut Rao
Moritz Bohle
Bernt Schiele
68
2
0
28 Jan 2025
CBVLM: Training-free Explainable Concept-based Large Vision Language Models for Medical Image Classification
Cristiano Patrício
Isabel Rio-Torto
J. S. Cardoso
Luís F. Teixeira
João C. Neves
VLM
218
0
0
21 Jan 2025
VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance
Divyansh Srivastava
Beatriz Cabrero-Daniel
Christian Berger
VLM
62
8
0
17 Jan 2025
COMIX: Compositional Explanations using Prototypes
S. Sivaprasad
D. Kangin
Plamen Angelov
Mario Fritz
145
0
0
10 Jan 2025
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning
Numair Sani
Daniel Malinsky
I. Shpitser
CML
79
15
0
10 Jan 2025
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
Xin-Chao Xu
Yi Qin
Lu Mi
Hao Wang
Xiaomeng Li
74
9
0
03 Jan 2025
Unlearning-based Neural Interpretations
Ching Lam Choi
Alexandre Duplessis
Serge Belongie
FAtt
44
0
0
10 Oct 2024
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
31
1
0
07 Oct 2024
Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models
Salma Abdel Magid
Weiwei Pan
Simon Warchol
Grace Guo
Junsik Kim
Mahia Rahman
Hanspeter Pfister
95
0
0
06 Oct 2024
Variational Language Concepts for Interpreting Foundation Language Models
Hengyi Wang
Shiwei Tan
Zhiqing Hong
Desheng Zhang
Hao Wang
34
3
0
04 Oct 2024
Image-guided topic modeling for interpretable privacy classification
Alina Elena Baia
Andrea Cavallaro
42
0
0
27 Sep 2024
Explanation Bottleneck Models
Shinýa Yamaguchi
Kosuke Nishida
LRM
BDL
49
1
0
26 Sep 2024
EQ-CBM: A Probabilistic Concept Bottleneck with Energy-based Models and Quantized Vectors
Sangwon Kim
Dasom Ahn
B. Ko
In-su Jang
Kwang-Ju Kim
30
4
0
22 Sep 2024
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation
Hugo Porta
Emanuele Dalsasso
Diego Marcos
D. Tuia
95
0
0
14 Sep 2024
Explaining Datasets in Words: Statistical Models with Natural Language Parameters
Ruiqi Zhong
Heng Wang
Dan Klein
Jacob Steinhardt
37
6
0
13 Sep 2024
What Makes a Maze Look Like a Maze?
Joy Hsu
Jiayuan Mao
J. Tenenbaum
Noah D. Goodman
Jiajun Wu
OCL
54
6
0
12 Sep 2024
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
Nitay Calderon
Roi Reichart
40
10
0
27 Jul 2024
Overview of Speaker Modeling and Its Applications: From the Lens of Deep Speaker Representation Learning
Shuai Wang
Zheng-Shou Chen
Kong Aik Lee
Yan-min Qian
Haizhou Li
39
4
0
21 Jul 2024
DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks
Sarah Jabbour
Gregory Kondas
Ella Kazerooni
Michael Sjoding
David Fouhey
Jenna Wiens
FAtt
DiffM
47
1
0
19 Jul 2024
Crafting Large Language Models for Enhanced Interpretability
Chung-En Sun
Tuomas P. Oikarinen
Tsui-Wei Weng
35
6
0
05 Jul 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
Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound
Arianna Bunnell
Yannik Glaser
Dustin Valdez
T. Wolfgruber
Aleen Altamirano
Carol Zamora González
Brenda Y. Hernandez
Peter Sadowski
John A. Shepherd
36
0
0
29 Jun 2024
Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis
Yibo Gao
Zheyao Gao
Xin Gao
Yuanye Liu
Bomin Wang
Xiahai Zhuang
36
1
0
27 Jun 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
Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation
Katherine M. Collins
Najoung Kim
Yonatan Bitton
Verena Rieser
Shayegan Omidshafiei
...
Gang Li
Adrian Weller
Junfeng He
Deepak Ramachandran
Krishnamurthy Dvijotham
EGVM
47
3
0
24 Jun 2024
Automated Molecular Concept Generation and Labeling with Large Language Models
Shichang Zhang
Botao Xia
Zimin Zhang
Qianli Wu
Fang Sun
Ziniu Hu
Yizhou Sun
43
0
0
13 Jun 2024
Learning Discrete Concepts in Latent Hierarchical Models
Lingjing Kong
Guan-Hong Chen
Erdun Gao
Eric P. Xing
Yuejie Chi
Anton van den Hengel
52
4
0
01 Jun 2024
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis
Yue Yang
Mona Gandhi
Yufei Wang
Yifan Wu
Michael S. Yao
Christopher Callison-Burch
James C. Gee
Mark Yatskar
55
3
0
23 May 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
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