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Concept-Centric Transformers: Enhancing Model Interpretability through
  Object-Centric Concept Learning within a Shared Global Workspace

Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace

25 May 2023
Jinyung Hong
Keun Hee Park
Theodore P. Pavlic
ArXivPDFHTML

Papers citing "Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace"

12 / 12 papers shown
Title
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification
Guillaume Jeanneret
Loïc Simon
F. Jurie
ViT
44
0
0
24 Feb 2025
SGW-based Multi-Task Learning in Vision Tasks
SGW-based Multi-Task Learning in Vision Tasks
Ruiyuan Zhang
Yuyao Chen
Yuchi Huo
Jiaxiang Liu
Dianbing Xi
Jie Liu
Chao Wu
26
0
0
03 Oct 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
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off
M. Zarlenga
Pietro Barbiero
Gabriele Ciravegna
G. Marra
Francesco Giannini
...
F. Precioso
S. Melacci
Adrian Weller
Pietro Lio'
M. Jamnik
71
52
0
19 Sep 2022
Object Representations as Fixed Points: Training Iterative Refinement
  Algorithms with Implicit Differentiation
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation
Michael Chang
Thomas L. Griffiths
Sergey Levine
OCL
47
59
0
02 Jul 2022
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
31
98
0
06 Dec 2021
An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier
  Features For Neuro-Symbolic Relational Learning
An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational Learning
Jinyung Hong
Theodore P. Pavlic
17
5
0
11 Sep 2021
Coordination Among Neural Modules Through a Shared Global Workspace
Coordination Among Neural Modules Through a Shared Global Workspace
Anirudh Goyal
Aniket Didolkar
Alex Lamb
Kartikeya Badola
Nan Rosemary Ke
Nasim Rahaman
Jonathan Binas
Charles Blundell
Michael C. Mozer
Yoshua Bengio
154
98
0
01 Mar 2021
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
Chih-Kuan Yeh
Been Kim
Sercan Ö. Arik
Chun-Liang Li
Tomas Pfister
Pradeep Ravikumar
FAtt
120
297
0
17 Oct 2019
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
225
2,542
0
25 Jan 2016
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
124
7,319
0
05 Jun 2015
The Application of Two-level Attention Models in Deep Convolutional
  Neural Network for Fine-grained Image Classification
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification
Tianjun Xiao
Yichong Xu
Kuiyuan Yang
Jiaxing Zhang
Yuxin Peng
Zheng-Wei Zhang
153
788
0
24 Nov 2014
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