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2304.06129
Cited By
Label-Free Concept Bottleneck Models
12 April 2023
Tuomas P. Oikarinen
Subhro Das
Lam M. Nguyen
Tsui-Wei Weng
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Papers citing
"Label-Free Concept Bottleneck Models"
50 / 124 papers shown
Title
TextCAVs: Debugging vision models using text
A. Nicolson
Yarin Gal
J. A. Noble
CoGe
31
0
0
16 Aug 2024
Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts
Andong Tan
Fengtao Zhou
Hao Chen
VLM
24
3
0
05 Aug 2024
AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis
T. Chowdhury
Vu Minh Hieu Phan
Kewen Liao
Minh Nguyen Nhat To
Yutong Xie
Anton Van Den Hengel
Johan W. Verjans
Zhibin Liao
22
1
0
04 Aug 2024
Adversarial Robustification via Text-to-Image Diffusion Models
Daewon Choi
Jongheon Jeong
Huiwon Jang
Jinwoo Shin
DiffM
44
1
0
26 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
Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort
Jeeyung Kim
Ze Wang
Qiang Qiu
43
1
0
12 Jul 2024
Are They the Same Picture? Adapting Concept Bottleneck Models for Human-AI Collaboration in Image Retrieval
Vaibhav Balloli
Sara Beery
Elizabeth Bondi-Kelly
42
0
0
12 Jul 2024
Integrating Clinical Knowledge into Concept Bottleneck Models
Winnie Pang
Xueyi Ke
Satoshi Tsutsui
Bihan Wen
44
1
0
09 Jul 2024
Crafting Large Language Models for Enhanced Interpretability
Chung-En Sun
Tuomas P. Oikarinen
Tsui-Wei Weng
35
6
0
05 Jul 2024
Concept Bottleneck Models Without Predefined Concepts
Simon Schrodi
Julian Schur
Max Argus
Thomas Brox
50
9
0
04 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
Stochastic Concept Bottleneck Models
Moritz Vandenhirtz
Sonia Laguna
Ricards Marcinkevics
Julia E. Vogt
46
9
0
27 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
Large Language Models are Interpretable Learners
Ruochen Wang
Si Si
Felix X. Yu
Dorothea Wiesmann
Cho-Jui Hsieh
Inderjit Dhillon
24
3
0
25 Jun 2024
AND: Audio Network Dissection for Interpreting Deep Acoustic Models
Tung-Yu Wu
Yu-Xiang Lin
Tsui-Wei Weng
52
1
0
24 Jun 2024
Self-supervised Interpretable Concept-based Models for Text Classification
Francesco De Santis
Philippe Bich
Gabriele Ciravegna
Pietro Barbiero
Danilo Giordano
Tania Cerquitelli
34
0
0
20 Jun 2024
Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models
Hengyi Wang
Shiwei Tan
Hao Wang
BDL
42
6
0
18 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
Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency
Maor Dikter
Tsachi Blau
Chaim Baskin
41
0
0
13 Jun 2024
ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery
Kam Woh Ng
Xiatian Zhu
Yi-Zhe Song
Tao Xiang
37
2
0
12 Jun 2024
I Bet You Did Not Mean That: Testing Semantic Importance via Betting
Jacopo Teneggi
Jeremias Sulam
FAtt
36
1
0
29 May 2024
Understanding Inter-Concept Relationships in Concept-Based Models
Naveen Raman
M. Zarlenga
M. Jamnik
29
4
0
28 May 2024
Crafting Interpretable Embeddings by Asking LLMs Questions
Vinamra Benara
Chandan Singh
John X. Morris
Richard Antonello
Ion Stoica
Alexander G. Huth
Jianfeng Gao
26
5
0
26 May 2024
Editable Concept Bottleneck Models
Lijie Hu
Chenyang Ren
Zhengyu Hu
Cheng-Long Wang
Di Wang
Hui Xiong
Jingfeng Zhang
Di Wang
34
3
0
24 May 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
58
3
0
23 May 2024
Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography
Shantanu Ghosh
Clare B. Poynton
Shyam Visweswaran
Kayhan Batmanghelich
VLM
37
10
0
20 May 2024
Error-margin Analysis for Hidden Neuron Activation Labels
Abhilekha Dalal
R. Rayan
Pascal Hitzler
FAtt
31
1
0
14 May 2024
Improving Concept Alignment in Vision-Language Concept Bottleneck Models
Nithish Muthuchamy Selvaraj
Xiaobao Guo
Bingquan Shen
A. Kong
Alex C. Kot
VLM
46
0
0
03 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
On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis
Abhilekha Dalal
R. Rayan
Adrita Barua
Eugene Y. Vasserman
Md Kamruzzaman Sarker
Pascal Hitzler
27
4
0
21 Apr 2024
Incremental Residual Concept Bottleneck Models
Chenming Shang
Shiji Zhou
Hengyuan Zhang
Xinzhe Ni
Yujiu Yang
Yuwang Wang
42
14
0
13 Apr 2024
Understanding Multimodal Deep Neural Networks: A Concept Selection View
Chenming Shang
Hengyuan Zhang
Hao Wen
Yujiu Yang
43
5
0
13 Apr 2024
Knowledge graphs for empirical concept retrieval
Lenka Tětková
Teresa Scheidt
Maria Mandrup Fogh
Ellen Marie Gaunby Jorgensen
F. Nielsen
Lars Kai Hansen
21
1
0
10 Apr 2024
Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning
Andrei Semenov
Vladimir Ivanov
Aleksandr Beznosikov
Alexander Gasnikov
42
6
0
04 Apr 2024
Training-Free Semantic Segmentation via LLM-Supervision
Wenfang Sun
Yingjun Du
Gaowen Liu
Ramana Rao Kompella
Cees G. M. Snoek
VLM
44
2
0
31 Mar 2024
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models
Samuel Marks
Can Rager
Eric J. Michaud
Yonatan Belinkov
David Bau
Aaron Mueller
46
115
0
28 Mar 2024
Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework
Vu Minh Hieu Phan
Yutong Xie
Yuankai Qi
Lingqiao Liu
Liyang Liu
Bowen Zhang
Zhibin Liao
Qi Wu
Minh Nguyen Nhat To
Johan W. Verjans
64
11
0
12 Mar 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
Tuning-Free Accountable Intervention for LLM Deployment -- A Metacognitive Approach
Zhen Tan
Jie Peng
Tianlong Chen
Huan Liu
29
6
0
08 Mar 2024
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)
Usha Bhalla
Alexander X. Oesterling
Suraj Srinivas
Flavio du Pin Calmon
Himabindu Lakkaraju
41
35
0
16 Feb 2024
Eliminating Information Leakage in Hard Concept Bottleneck Models with Supervised, Hierarchical Concept Learning
Ao Sun
Yuanyuan Yuan
Pingchuan Ma
Shuai Wang
13
6
0
03 Feb 2024
Can we Constrain Concept Bottleneck Models to Learn Semantically Meaningful Input Features?
Jack Furby
Daniel Cunnington
Dave Braines
Alun D. Preece
35
3
0
01 Feb 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
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation
Ricardo Moreira
Jacopo Bono
Mário Cardoso
Pedro Saleiro
Mário A. T. Figueiredo
P. Bizarro
CML
28
4
0
16 Jan 2024
Do Concept Bottleneck Models Obey Locality?
Naveen Raman
M. Zarlenga
Juyeon Heo
M. Jamnik
36
7
0
02 Jan 2024
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology
S. Kapse
Pushpak Pati
Srijan Das
Jingwei Zhang
Chao Chen
Maria Vakalopoulou
Joel H. Saltz
Dimitris Samaras
Rajarsi R. Gupta
Prateek Prasanna
31
10
0
22 Dec 2023
Concept-based Explainable Artificial Intelligence: A Survey
Eleonora Poeta
Gabriele Ciravegna
Eliana Pastor
Tania Cerquitelli
Elena Baralis
LRM
XAI
24
42
0
20 Dec 2023
CEIR: Concept-based Explainable Image Representation Learning
Yan Cui
Shuhong Liu
Liuzhuozheng Li
Zhiyuan Yuan
SSL
VLM
31
3
0
17 Dec 2023
Learning Interpretable Queries for Explainable Image Classification with Information Pursuit
Stefan Kolek
Aditya Chattopadhyay
Kwan Ho Ryan Chan
Héctor Andrade-Loarca
Gitta Kutyniok
René Vidal
24
1
0
16 Dec 2023
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