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Learning Decomposable and Debiased Representations via Attribute-Centric
  Information Bottlenecks

Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks

21 March 2024
Jinyung Hong
Eunyeong Jeon
Changhoon Kim
Keun Hee Park
Utkarsh Nath
Yezhou Yang
P. Turaga
Theodore P. Pavlic
    CML
ArXivPDFHTML

Papers citing "Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks"

10 / 10 papers shown
Title
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
Improving Shape Awareness and Interpretability in Deep Networks Using
  Geometric Moments
Improving Shape Awareness and Interpretability in Deep Networks Using Geometric Moments
Rajhans Singh
Ankita Shukla
P. Turaga
39
6
0
24 May 2022
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space
  Perspective
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective
Luca Scimeca
Seong Joon Oh
Sanghyuk Chun
Michael Poli
Sangdoo Yun
OOD
374
49
0
06 Oct 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 the Binding Problem in Artificial Neural Networks
On the Binding Problem in Artificial Neural Networks
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
224
252
0
09 Dec 2020
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
293
0
17 Oct 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,183
0
12 Dec 2018
Bag of Tricks for Image Classification with Convolutional Neural
  Networks
Bag of Tricks for Image Classification with Convolutional Neural Networks
Tong He
Zhi-Li Zhang
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
216
1,391
0
04 Dec 2018
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
149
9,300
0
28 May 2015
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