ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2310.18589
  4. Cited By
This Looks Like Those: Illuminating Prototypical Concepts Using Multiple
  Visualizations

This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations

28 October 2023
Chiyu Ma
Brandon Zhao
Chaofan Chen
Cynthia Rudin
ArXivPDFHTML

Papers citing "This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations"

22 / 22 papers shown
Title
ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning
ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning
Shri Kiran Srinivasan
David Chen
Thomas Statchen
Michael C. Burkhart
Nipun Bhandari
Bashar Ramadan
Brett Beaulieu-Jones
37
1
0
11 Apr 2025
Enhancing Job Salary Prediction with Disentangled Composition Effect Modeling: A Neural Prototyping Approach
Enhancing Job Salary Prediction with Disentangled Composition Effect Modeling: A Neural Prototyping Approach
Yang Ji
Ying Sun
Hengshu Zhu
46
1
0
17 Mar 2025
Exploring Interpretability for Visual Prompt Tuning with Hierarchical Concepts
Yubin Wang
Xinyang Jiang
De Cheng
Xiangqian Zhao
Zilong Wang
Dongsheng Li
Cairong Zhao
VLM
72
0
0
08 Mar 2025
Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time
J. Donnelly
Zhicheng Guo
A. Barnett
Hayden McTavish
Chaofan Chen
Cynthia Rudin
66
0
0
03 Mar 2025
This looks like what? Challenges and Future Research Directions for Part-Prototype Models
This looks like what? Challenges and Future Research Directions for Part-Prototype Models
Khawla Elhadri
Tomasz Michalski
Adam Wróbel
Jorg Schlotterer
Bartosz Zieliñski
C. Seifert
86
0
0
13 Feb 2025
COMIX: Compositional Explanations using Prototypes
COMIX: Compositional Explanations using Prototypes
S. Sivaprasad
D. Kangin
Plamen Angelov
Mario Fritz
169
0
0
10 Jan 2025
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
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
Achieving Domain-Independent Certified Robustness via Knowledge
  Continuity
Achieving Domain-Independent Certified Robustness via Knowledge Continuity
Alan Sun
Chiyu Ma
Kenneth Ge
Soroush Vosoughi
36
0
0
03 Nov 2024
Interpretable Image Classification with Adaptive Prototype-based Vision
  Transformers
Interpretable Image Classification with Adaptive Prototype-based Vision Transformers
Chiyu Ma
J. Donnelly
Wenjun Liu
Soroush Vosoughi
Cynthia Rudin
Chaofan Chen
ViT
47
8
0
28 Oct 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
36
1
0
24 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
This Probably Looks Exactly Like That: An Invertible Prototypical
  Network
This Probably Looks Exactly Like That: An Invertible Prototypical Network
Zachariah Carmichael
Timothy Redgrave
Daniel Gonzalez Cedre
Walter J. Scheirer
BDL
39
2
0
16 Jul 2024
This Looks Better than That: Better Interpretable Models with ProtoPNeXt
This Looks Better than That: Better Interpretable Models with ProtoPNeXt
Frank Willard
Luke Moffett
Emmanuel Mokel
Jon Donnelly
Stark Guo
Julia Yang
Giyoung Kim
Alina Jade Barnett
Cynthia Rudin
42
4
0
20 Jun 2024
ProtoS-ViT: Visual foundation models for sparse self-explainable
  classifications
ProtoS-ViT: Visual foundation models for sparse self-explainable classifications
Hugues Turbé
Mina Bjelogrlic
G. Mengaldo
Christian Lovis
ViT
26
6
0
14 Jun 2024
FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for
  Classification of Mass Margins in Digital Mammography
FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography
Julia Yang
Alina Jade Barnett
Jon Donnelly
Satvik Kishore
Jerry Fang
F. Schwartz
Chaofan Chen
Joseph Y. Lo
Cynthia Rudin
MedIm
32
1
0
10 Jun 2024
Post-hoc Part-prototype Networks
Post-hoc Part-prototype Networks
Andong Tan
Fengtao Zhou
Hao Chen
33
5
0
05 Jun 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
34
7
0
23 May 2024
AudioProtoPNet: An interpretable deep learning model for bird sound
  classification
AudioProtoPNet: An interpretable deep learning model for bird sound classification
René Heinrich
Bernhard Sick
Christoph Scholz
22
2
0
16 Apr 2024
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition
Chong Wang
Yuanhong Chen
Fengbei Liu
Yuyuan Liu
Davis J. McCarthy
Helen Frazer
Gustavo Carneiro
26
1
0
30 Nov 2023
HIVE: Evaluating the Human Interpretability of Visual Explanations
HIVE: Evaluating the Human Interpretability of Visual Explanations
Sunnie S. Y. Kim
Nicole Meister
V. V. Ramaswamy
Ruth C. Fong
Olga Russakovsky
66
114
0
06 Dec 2021
Interpretable Image Classification with Differentiable Prototypes
  Assignment
Interpretable Image Classification with Differentiable Prototypes Assignment
Dawid Rymarczyk
Lukasz Struski
Michal Górszczak
K. Lewandowska
Jacek Tabor
Bartosz Zieliñski
34
98
0
06 Dec 2021
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
315
36,381
0
25 Aug 2016
1