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This Looks Like That: Deep Learning for Interpretable Image Recognition

This Looks Like That: Deep Learning for Interpretable Image Recognition

27 June 2018
Chaofan Chen
Oscar Li
Chaofan Tao
A. Barnett
Jonathan Su
Cynthia Rudin
ArXivPDFHTML

Papers citing "This Looks Like That: Deep Learning for Interpretable Image Recognition"

50 / 602 papers shown
Title
On the Interpretability of Part-Prototype Based Classifiers: A Human
  Centric Analysis
On the Interpretability of Part-Prototype Based Classifiers: A Human Centric Analysis
Omid Davoodi
Shayan Mohammadizadehsamakosh
Majid Komeili
10
11
0
10 Oct 2023
Latent Diffusion Counterfactual Explanations
Latent Diffusion Counterfactual Explanations
Karim Farid
Simon Schrodi
Max Argus
Thomas Brox
DiffM
40
12
0
10 Oct 2023
A Framework for Interpretability in Machine Learning for Medical Imaging
A Framework for Interpretability in Machine Learning for Medical Imaging
Alan Q. Wang
Batuhan K. Karaman
Heejong Kim
Jacob Rosenthal
Rachit Saluja
Sean I. Young
M. Sabuncu
AI4CE
17
10
0
02 Oct 2023
Pixel-Grounded Prototypical Part Networks
Pixel-Grounded Prototypical Part Networks
Zachariah Carmichael
Suhas Lohit
A. Cherian
Michael Jeffrey Jones
Walter J. Scheirer
38
11
0
25 Sep 2023
May I Ask a Follow-up Question? Understanding the Benefits of
  Conversations in Neural Network Explainability
May I Ask a Follow-up Question? Understanding the Benefits of Conversations in Neural Network Explainability
Tong Zhang
Xiaoyu Yang
Boyang Albert Li
23
3
0
25 Sep 2023
I-AI: A Controllable & Interpretable AI System for Decoding
  Radiologists' Intense Focus for Accurate CXR Diagnoses
I-AI: A Controllable & Interpretable AI System for Decoding Radiologists' Intense Focus for Accurate CXR Diagnoses
Trong-Thang Pham
Jacob Brecheisen
Anh Nguyen
Hien Nguyen
Ngan Le
19
12
0
24 Sep 2023
ProtoExplorer: Interpretable Forensic Analysis of Deepfake Videos using
  Prototype Exploration and Refinement
ProtoExplorer: Interpretable Forensic Analysis of Deepfake Videos using Prototype Exploration and Refinement
M. D. L. D. Bouter
J. Pardo
Z. Geradts
M. Worring
13
10
0
20 Sep 2023
On Model Explanations with Transferable Neural Pathways
On Model Explanations with Transferable Neural Pathways
Xinmiao Lin
Wentao Bao
Qi Yu
Yu Kong
17
0
0
18 Sep 2023
Interpretability is in the Mind of the Beholder: A Causal Framework for
  Human-interpretable Representation Learning
Interpretability is in the Mind of the Beholder: A Causal Framework for Human-interpretable Representation Learning
Emanuele Marconato
Andrea Passerini
Stefano Teso
33
13
0
14 Sep 2023
Text-to-Image Models for Counterfactual Explanations: a Black-Box
  Approach
Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach
Guillaume Jeanneret
Loïc Simon
Frédéric Jurie
DiffM
30
12
0
14 Sep 2023
Interpretability-Aware Vision Transformer
Interpretability-Aware Vision Transformer
Yao Qiang
Chengyin Li
Prashant Khanduri
D. Zhu
ViT
82
7
0
14 Sep 2023
ZKROWNN: Zero Knowledge Right of Ownership for Neural Networks
ZKROWNN: Zero Knowledge Right of Ownership for Neural Networks
Nojan Sheybani
Zahra Ghodsi
Ritvik Kapila
F. Koushanfar
31
9
0
13 Sep 2023
PDiscoNet: Semantically consistent part discovery for fine-grained
  recognition
PDiscoNet: Semantically consistent part discovery for fine-grained recognition
Robert van der Klis
Stephan Alaniz
Massimiliano Mancini
C. Dantas
Dino Ienco
Zeynep Akata
Diego Marcos
22
11
0
06 Sep 2023
Prototype-based Dataset Comparison
Prototype-based Dataset Comparison
Nanne van Noord
31
6
0
05 Sep 2023
Natural Example-Based Explainability: a Survey
Natural Example-Based Explainability: a Survey
Antonin Poché
Lucas Hervier
M. Bakkay
XAI
28
11
0
05 Sep 2023
DeViL: Decoding Vision features into Language
DeViL: Decoding Vision features into Language
Meghal Dani
Isabel Rio-Torto
Stephan Alaniz
Zeynep Akata
VLM
42
7
0
04 Sep 2023
How Faithful are Self-Explainable GNNs?
How Faithful are Self-Explainable GNNs?
Marc Christiansen
Lea Villadsen
Zhiqiang Zhong
Stefano Teso
Davide Mottin
18
3
0
29 Aug 2023
PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained
  Image Classification Accuracy for AIs and Humans
PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans
Giang Nguyen
Valerie Chen
Mohammad Reza Taesiri
Anh Totti Nguyen
32
4
0
25 Aug 2023
Explainable AI for clinical risk prediction: a survey of concepts,
  methods, and modalities
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities
Munib Mesinovic
Peter Watkinson
Ting Zhu
FaML
19
3
0
16 Aug 2023
Interpretability Benchmark for Evaluating Spatial Misalignment of
  Prototypical Parts Explanations
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations
Mikolaj Sacha
Bartosz Jura
Dawid Rymarczyk
Lukasz Struski
Jacek Tabor
Bartosz Zieliñski
32
14
0
16 Aug 2023
UIPC-MF: User-Item Prototype Connection Matrix Factorization for
  Explainable Collaborative Filtering
UIPC-MF: User-Item Prototype Connection Matrix Factorization for Explainable Collaborative Filtering
Lei Pan
V. Soo
29
0
0
14 Aug 2023
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of
  Explainable AI Methods
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods
Robin Hesse
Simone Schaub-Meyer
Stefan Roth
AAML
37
32
0
11 Aug 2023
Scale-Preserving Automatic Concept Extraction (SPACE)
Scale-Preserving Automatic Concept Extraction (SPACE)
Andres Felipe Posada-Moreno
Lukas Kreisköther
T. Glander
Sebastian Trimpe
13
1
0
11 Aug 2023
Discriminative Feature Attributions: Bridging Post Hoc Explainability
  and Inherent Interpretability
Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability
Usha Bhalla
Suraj Srinivas
Himabindu Lakkaraju
FAtt
CML
29
6
0
27 Jul 2023
The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image
  Classifiers
The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers
Meike Nauta
Christin Seifert
34
11
0
26 Jul 2023
ProtoASNet: Dynamic Prototypes for Inherently Interpretable and
  Uncertainty-Aware Aortic Stenosis Classification in Echocardiography
ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography
H. Vaseli
A. Gu
Ahmadi Amiri
Michael Y. Tsang
A. Fung
Nima Kondori
Armin Saadat
Purang Abolmaesumi
T. Tsang
28
12
0
26 Jul 2023
ForestMonkey: Toolkit for Reasoning with AI-based Defect Detection and
  Classification Models
ForestMonkey: Toolkit for Reasoning with AI-based Defect Detection and Classification Models
Jiajun Zhang
Georgina Cosma
S. L. Bugby
Jason Watkins
19
1
0
25 Jul 2023
Interpreting and Correcting Medical Image Classification with PIP-Net
Interpreting and Correcting Medical Image Classification with PIP-Net
Meike Nauta
J. H. Hegeman
J. Geerdink
Jorg Schlotterer
M. V. Keulen
Christin Seifert
MedIm
25
11
0
19 Jul 2023
Hierarchical Semantic Tree Concept Whitening for Interpretable Image
  Classification
Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classification
Haixing Dai
Lu Zhang
Lin Zhao
Zihao Wu
Zheng Liu
...
Yanjun Lyu
Changying Li
Ninghao Liu
Tianming Liu
Dajiang Zhu
43
6
0
10 Jul 2023
Improving Prototypical Visual Explanations with Reward Reweighing,
  Reselection, and Retraining
Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and Retraining
Aaron J. Li
Robin Netzorg
Zhihan Cheng
Zhuoqin Zhang
Bin Yu
22
3
0
08 Jul 2023
Prototypes as Explanation for Time Series Anomaly Detection
Prototypes as Explanation for Time Series Anomaly Detection
Bin Li
Carsten Jentsch
Emmanuel Müller
AI4TS
14
2
0
04 Jul 2023
Data-Driven Design for Metamaterials and Multiscale Systems: A Review
Data-Driven Design for Metamaterials and Multiscale Systems: A Review
Doksoo Lee
Wei Chen
Liwei Wang
Yu-Chin Chan
Wei Chen
AI4CE
22
78
0
01 Jul 2023
The future of human-centric eXplainable Artificial Intelligence (XAI) is
  not post-hoc explanations
The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations
Vinitra Swamy
Jibril Frej
Tanja Kaser
34
14
0
01 Jul 2023
SHARCS: Shared Concept Space for Explainable Multimodal Learning
SHARCS: Shared Concept Space for Explainable Multimodal Learning
Gabriele Dominici
Pietro Barbiero
Lucie Charlotte Magister
Pietro Lio'
Nikola Simidjievski
33
5
0
01 Jul 2023
A Parts Based Registration Loss for Detecting Knee Joint Areas
A Parts Based Registration Loss for Detecting Knee Joint Areas
Juha Tiirola
11
0
0
30 Jun 2023
Next Steps for Human-Centered Generative AI: A Technical Perspective
Next Steps for Human-Centered Generative AI: A Technical Perspective
Xiang Ánthony' Chen
Jeff Burke
Andrea Colaço
Matthew K. Hong
Jennifer Jacobs
...
Dingzeyu Li
Nanyun Peng
Karl D. D. Willis
Chien-Sheng Wu
Bolei Zhou
LLMAG
27
32
0
27 Jun 2023
A differentiable Gaussian Prototype Layer for explainable Segmentation
A differentiable Gaussian Prototype Layer for explainable Segmentation
M. Gerstenberger
Steffen Maass
Peter Eisert
S. Bosse
30
4
0
25 Jun 2023
Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities
Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities
Xudong Shen
H. Brown
Jiashu Tao
Martin Strobel
Yao Tong
Akshay Narayan
Harold Soh
Finale Doshi-Velez
27
3
0
22 Jun 2023
B-cos Alignment for Inherently Interpretable CNNs and Vision
  Transformers
B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers
Moritz D Boehle
Navdeeppal Singh
Mario Fritz
Bernt Schiele
56
27
0
19 Jun 2023
Prototype Learning for Explainable Brain Age Prediction
Prototype Learning for Explainable Brain Age Prediction
L. Hesse
Nicola K. Dinsdale
Ana I. L. Namburete
MedIm
23
0
0
16 Jun 2023
A Comprehensive Survey on Applications of Transformers for Deep Learning
  Tasks
A Comprehensive Survey on Applications of Transformers for Deep Learning Tasks
Saidul Islam
Hanae Elmekki
Ahmed Elsebai
Jamal Bentahar
Najat Drawel
Gaith Rjoub
Witold Pedrycz
ViT
MedIm
21
171
0
11 Jun 2023
Neuro-Symbolic Approaches for Context-Aware Human Activity Recognition
Neuro-Symbolic Approaches for Context-Aware Human Activity Recognition
Luca Arrotta
Gabriele Civitarese
Claudio Bettini
24
0
0
08 Jun 2023
Adversarial attacks and defenses in explainable artificial intelligence:
  A survey
Adversarial attacks and defenses in explainable artificial intelligence: A survey
Hubert Baniecki
P. Biecek
AAML
42
63
0
06 Jun 2023
Discovering Novel Biological Traits From Images Using Phylogeny-Guided
  Neural Networks
Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks
Mohannad Elhamod
Mridul Khurana
Harish Babu Manogaran
Josef C. Uyeda
M. Balk
...
Wei-Lun Chao
Chuck Stewart
Daniel Rubenstein
T. Berger-Wolf
Anuj Karpatne
14
7
0
05 Jun 2023
Interpretable Alzheimer's Disease Classification Via a Contrastive
  Diffusion Autoencoder
Interpretable Alzheimer's Disease Classification Via a Contrastive Diffusion Autoencoder
Ayodeji Ijishakin
A. Abdulaal
Adamos Hadjivasiliou
Sophie Martin
James H. Cole
DiffM
MedIm
33
9
0
05 Jun 2023
Encoding Time-Series Explanations through Self-Supervised Model Behavior
  Consistency
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency
Owen Queen
Thomas Hartvigsen
Teddy Koker
Huan He
Theodoros Tsiligkaridis
Marinka Zitnik
AI4TS
37
17
0
03 Jun 2023
Probabilistic Concept Bottleneck Models
Probabilistic Concept Bottleneck Models
Eunji Kim
Dahuin Jung
Sangha Park
Siwon Kim
Sung-Hoon Yoon
6
64
0
02 Jun 2023
Learning Transformer Programs
Learning Transformer Programs
Dan Friedman
Alexander Wettig
Danqi Chen
28
32
0
01 Jun 2023
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and
  Mitigation of Reasoning Shortcuts
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
Emanuele Marconato
Stefano Teso
Antonio Vergari
Andrea Passerini
38
30
0
31 May 2023
Prototype-Based Interpretability for Legal Citation Prediction
Prototype-Based Interpretability for Legal Citation Prediction
Chunyan Luo
R. Bhambhoria
Samuel Dahan
Xiao-Dan Zhu
ELM
AILaw
16
7
0
25 May 2023
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