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Concept Whitening for Interpretable Image Recognition

Concept Whitening for Interpretable Image Recognition

5 February 2020
Zhi Chen
Yijie Bei
Cynthia Rudin
    FAtt
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Papers citing "Concept Whitening for Interpretable Image Recognition"

50 / 189 papers shown
Title
If Concept Bottlenecks are the Question, are Foundation Models the Answer?
If Concept Bottlenecks are the Question, are Foundation Models the Answer?
Nicola Debole
Pietro Barbiero
Francesco Giannini
Andrea Passerini
Stefano Teso
Emanuele Marconato
131
0
0
28 Apr 2025
Disentangling Polysemantic Channels in Convolutional Neural Networks
Disentangling Polysemantic Channels in Convolutional Neural Networks
Robin Hesse
Jonas Fischer
Simone Schaub-Meyer
Stefan Roth
FAtt
MILM
55
0
0
17 Apr 2025
Leveraging multimodal explanatory annotations for video interpretation with Modality Specific Dataset
Leveraging multimodal explanatory annotations for video interpretation with Modality Specific Dataset
Elisa Ancarani
Julie Tores
L. Sassatelli
Rémy Sun
Hui-Yin Wu
F. Precioso
24
0
0
15 Apr 2025
Post-Hoc Concept Disentanglement: From Correlated to Isolated Concept Representations
Eren Erogullari
Sebastian Lapuschkin
Wojciech Samek
Frederik Pahde
LLMSV
CoGe
62
0
0
07 Mar 2025
AxBERT: An Interpretable Chinese Spelling Correction Method Driven by Associative Knowledge Network
Fanyu Wang
Hangyu Zhu
Zhenping Xie
40
0
0
04 Mar 2025
Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models
Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models
Susmit Agrawal
Deepika Vemuri
S. Paul
Vineeth N. Balasubramanian
CLL
62
0
0
27 Feb 2025
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens
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
Sample-efficient Learning of Concepts with Theoretical Guarantees: from Data to Concepts without Interventions
H. Fokkema
T. Erven
Sara Magliacane
64
1
0
10 Feb 2025
Interpreting Deep Neural Network-Based Receiver Under Varying Signal-To-Noise Ratios
Interpreting Deep Neural Network-Based Receiver Under Varying Signal-To-Noise Ratios
Marko Tuononen
Dani Korpi
Ville Hautamäki
FAtt
31
1
0
10 Jan 2025
Integrative CAM: Adaptive Layer Fusion for Comprehensive Interpretation
  of CNNs
Integrative CAM: Adaptive Layer Fusion for Comprehensive Interpretation of CNNs
Aniket K. Singh
Debasis Chaudhuri
Manish P. Singh
Samiran Chattopadhyay
60
0
0
02 Dec 2024
Classification with Conceptual Safeguards
Classification with Conceptual Safeguards
Hailey Joren
Charles Marx
Berk Ustun
37
2
0
07 Nov 2024
Decision Trees for Interpretable Clusters in Mixture Models and Deep
  Representations
Decision Trees for Interpretable Clusters in Mixture Models and Deep Representations
Maximilian Fleissner
Maedeh Zarvandi
D. Ghoshdastidar
29
1
0
03 Nov 2024
Exploiting Interpretable Capabilities with Concept-Enhanced Diffusion
  and Prototype Networks
Exploiting Interpretable Capabilities with Concept-Enhanced Diffusion and Prototype Networks
Alba Carballo-Castro
Sonia Laguna
Moritz Vandenhirtz
Julia E. Vogt
DiffM
24
1
0
24 Oct 2024
Exploiting Text-Image Latent Spaces for the Description of Visual
  Concepts
Exploiting Text-Image Latent Spaces for the Description of Visual Concepts
Laines Schmalwasser
J. Gawlikowski
Joachim Denzler
Julia Niebling
19
2
0
23 Oct 2024
Sparse Prototype Network for Explainable Pedestrian Behavior Prediction
Sparse Prototype Network for Explainable Pedestrian Behavior Prediction
Yan Feng
Alexander Carballo
K. Takeda
ViT
32
0
0
16 Oct 2024
Tree-Based Leakage Inspection and Control in Concept Bottleneck Models
Tree-Based Leakage Inspection and Control in Concept Bottleneck Models
Angelos Ragkousis
Sonali Parbhoo
29
1
0
08 Oct 2024
Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models
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
89
0
0
06 Oct 2024
Learning to Balance: Diverse Normalization for Cloth-Changing Person
  Re-Identification
Learning to Balance: Diverse Normalization for Cloth-Changing Person Re-Identification
Hongjun Wang
Jiyuan Chen
Zhengwei Yin
Xuan Song
Yinqiang Zheng
CVBM
16
1
0
04 Oct 2024
Looking into Concept Explanation Methods for Diabetic Retinopathy
  Classification
Looking into Concept Explanation Methods for Diabetic Retinopathy Classification
Andrea M. Storås
Josefine V. Sundgaard
27
0
0
04 Oct 2024
Self-eXplainable AI for Medical Image Analysis: A Survey and New
  Outlooks
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks
Junlin Hou
Sicen Liu
Yequan Bie
Hongmei Wang
Andong Tan
Luyang Luo
Hao Chen
XAI
25
3
0
03 Oct 2024
Deep Model Interpretation with Limited Data : A Coreset-based Approach
Deep Model Interpretation with Limited Data : A Coreset-based Approach
Hamed Behzadi-Khormouji
José Oramas
SLR
20
0
0
01 Oct 2024
Proof of Thought : Neurosymbolic Program Synthesis allows Robust and
  Interpretable Reasoning
Proof of Thought : Neurosymbolic Program Synthesis allows Robust and Interpretable Reasoning
Debargha Ganguly
Srinivasan Iyengar
Vipin Chaudhary
Shivkumar Kalyanaraman
LRM
30
2
0
25 Sep 2024
Concept-Based Explanations in Computer Vision: Where Are We and Where
  Could We Go?
Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go?
Jae Hee Lee
Georgii Mikriukov
Gesina Schwalbe
Stefan Wermter
D. Wolter
50
2
0
20 Sep 2024
Predicting Long-Term Allograft Survival in Liver Transplant Recipients
Predicting Long-Term Allograft Survival in Liver Transplant Recipients
Xiang Gao
Michael Cooper
Maryam Naghibzadeh
Amirhossein Azhie
M. Bhat
Rahul G. Krishnan
21
0
0
10 Aug 2024
Interpreting Global Perturbation Robustness of Image Models using
  Axiomatic Spectral Importance Decomposition
Interpreting Global Perturbation Robustness of Image Models using Axiomatic Spectral Importance Decomposition
Róisín Luo
James McDermott
C. O'Riordan
AAML
32
0
0
02 Aug 2024
Interpretable Concept-Based Memory Reasoning
Interpretable Concept-Based Memory Reasoning
David Debot
Pietro Barbiero
Francesco Giannini
Gabriele Ciravegna
Michelangelo Diligenti
Giuseppe Marra
LRM
29
7
0
22 Jul 2024
Constructing Concept-based Models to Mitigate Spurious Correlations with
  Minimal Human Effort
Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort
Jeeyung Kim
Ze Wang
Qiang Qiu
38
1
0
12 Jul 2024
CAT: Interpretable Concept-based Taylor Additive Models
CAT: Interpretable Concept-based Taylor Additive Models
Viet Duong
Qiong Wu
Zhengyi Zhou
Hongjue Zhao
Chenxiang Luo
Eric Zavesky
Huaxiu Yao
Huajie Shao
FAtt
22
2
0
25 Jun 2024
Automated Molecular Concept Generation and Labeling with Large Language
  Models
Automated Molecular Concept Generation and Labeling with Large Language Models
Shichang Zhang
Botao Xia
Zimin Zhang
Qianli Wu
Fang Sun
Ziniu Hu
Yizhou Sun
41
0
0
13 Jun 2024
Attri-Net: A Globally and Locally Inherently Interpretable Model for
  Multi-Label Classification Using Class-Specific Counterfactuals
Attri-Net: A Globally and Locally Inherently Interpretable Model for Multi-Label Classification Using Class-Specific Counterfactuals
Susu Sun
S. Woerner
Andreas Maier
Lisa M. Koch
Christian F. Baumgartner
FAtt
25
1
0
08 Jun 2024
Contrastive Sparse Autoencoders for Interpreting Planning of
  Chess-Playing Agents
Contrastive Sparse Autoencoders for Interpreting Planning of Chess-Playing Agents
Yoann Poupart
29
0
0
06 Jun 2024
NUTS, NARS, and Speech
NUTS, NARS, and Speech
Dwane van der Sluis
18
0
0
28 May 2024
Locally Testing Model Detections for Semantic Global Concepts
Locally Testing Model Detections for Semantic Global Concepts
Franz Motzkus
Georgii Mikriukov
Christian Hellert
Ute Schmid
30
2
0
27 May 2024
Concept-based Explainable Malignancy Scoring on Pulmonary Nodules in CT
  Images
Concept-based Explainable Malignancy Scoring on Pulmonary Nodules in CT Images
Rinat I. Dumaev
S A Molodyakov
Lev V. Utkin
19
0
0
24 May 2024
Concept Visualization: Explaining the CLIP Multi-modal Embedding Using
  WordNet
Concept Visualization: Explaining the CLIP Multi-modal Embedding Using WordNet
Loris Giulivi
Giacomo Boracchi
19
2
0
23 May 2024
LucidPPN: Unambiguous Prototypical Parts Network for User-centric
  Interpretable Computer Vision
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision
Mateusz Pach
Dawid Rymarczyk
K. Lewandowska
Jacek Tabor
Bartosz Zieliñski
32
7
0
23 May 2024
Limits of Theory of Mind Modelling in Dialogue-Based Collaborative Plan
  Acquisition
Limits of Theory of Mind Modelling in Dialogue-Based Collaborative Plan Acquisition
Matteo Bortoletto
Constantin Ruhdorfer
Adnen Abdessaied
Lei Shi
Andreas Bulling
32
4
0
21 May 2024
CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining
  Vision Models
CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision Models
Teodor Chiaburu
Frank Haußer
Felix Bießmann
40
4
0
23 Apr 2024
Contrastive Pretraining for Visual Concept Explanations of Socioeconomic
  Outcomes
Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes
Ivica Obadic
Alex Levering
Lars Pennig
Dario Augusto Borges Oliveira
Diego Marcos
Xiaoxiang Zhu
41
0
0
15 Apr 2024
Concept-Attention Whitening for Interpretable Skin Lesion Diagnosis
Concept-Attention Whitening for Interpretable Skin Lesion Diagnosis
Junlin Hou
Jilan Xu
Hao Chen
MedIm
36
7
0
09 Apr 2024
Visual Concept Connectome (VCC): Open World Concept Discovery and their
  Interlayer Connections in Deep Models
Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models
M. Kowal
Richard P. Wildes
Konstantinos G. Derpanis
GNN
30
8
0
02 Apr 2024
A survey on Concept-based Approaches For Model Improvement
A survey on Concept-based Approaches For Model Improvement
Avani Gupta
P. J. Narayanan
LRM
29
5
0
21 Mar 2024
Learning Decomposable and Debiased Representations via Attribute-Centric
  Information Bottlenecks
Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks
Jinyung Hong
Eunyeong Jeon
Changhoon Kim
Keun Hee Park
Utkarsh Nath
Yezhou Yang
P. Turaga
Theodore P. Pavlic
CML
22
0
0
21 Mar 2024
What limits performance of weakly supervised deep learning for chest CT
  classification?
What limits performance of weakly supervised deep learning for chest CT classification?
F. I. Tushar
Vincent M. DÁnniballe
Geoffrey D. Rubin
Joseph Y. Lo
14
0
0
06 Feb 2024
Unveiling Molecular Moieties through Hierarchical Grad-CAM Graph Explainability
Unveiling Molecular Moieties through Hierarchical Grad-CAM Graph Explainability
Paolo Sortino
Salvatore Contino
Ugo Perricone
Roberto Pirrone
Roberto Pirrone
24
0
0
29 Jan 2024
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
Sonia Laguna
Ricards Marcinkevics
Moritz Vandenhirtz
Julia E. Vogt
25
17
0
24 Jan 2024
Do Concept Bottleneck Models Obey Locality?
Do Concept Bottleneck Models Obey Locality?
Naveen Raman
M. Zarlenga
Juyeon Heo
M. Jamnik
26
8
0
02 Jan 2024
Concept-based Explainable Artificial Intelligence: A Survey
Concept-based Explainable Artificial Intelligence: A Survey
Eleonora Poeta
Gabriele Ciravegna
Eliana Pastor
Tania Cerquitelli
Elena Baralis
LRM
XAI
19
41
0
20 Dec 2023
CEIR: Concept-based Explainable Image Representation Learning
CEIR: Concept-based Explainable Image Representation Learning
Yan Cui
Shuhong Liu
Liuzhuozheng Li
Zhiyuan Yuan
SSL
VLM
23
3
0
17 Dec 2023
Evaluating the Utility of Model Explanations for Model Development
Evaluating the Utility of Model Explanations for Model Development
Shawn Im
Jacob Andreas
Yilun Zhou
XAI
FAtt
ELM
19
1
0
10 Dec 2023
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