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From Neural Activations to Concepts: A Survey on Explaining Concepts in
  Neural Networks

From Neural Activations to Concepts: A Survey on Explaining Concepts in Neural Networks

18 October 2023
Jae Hee Lee
Sergio Lanza
Stefan Wermter
ArXivPDFHTML

Papers citing "From Neural Activations to Concepts: A Survey on Explaining Concepts in Neural Networks"

13 / 13 papers shown
Title
On Background Bias of Post-Hoc Concept Embeddings in Computer Vision DNNs
On Background Bias of Post-Hoc Concept Embeddings in Computer Vision DNNs
Gesina Schwalbe
Georgii Mikriukov
Edgar Heinert
Stavros Gerolymatos
Mert Keser
Alois Knoll
Matthias Rottmann
Annika Mütze
29
0
0
11 Apr 2025
Representation Engineering for Large-Language Models: Survey and Research Challenges
Representation Engineering for Large-Language Models: Survey and Research Challenges
Lukasz Bartoszcze
Sarthak Munshi
Bryan Sukidi
Jennifer Yen
Zejia Yang
David Williams-King
Linh Le
Kosi Asuzu
Carsten Maple
100
0
0
24 Feb 2025
GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers
GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers
Éloi Zablocki
Valentin Gerard
Amaia Cardiel
Eric Gaussier
Matthieu Cord
Eduardo Valle
69
0
0
23 Nov 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
48
2
0
20 Sep 2024
FI-CBL: A Probabilistic Method for Concept-Based Learning with Expert
  Rules
FI-CBL: A Probabilistic Method for Concept-Based Learning with Expert Rules
Lev V. Utkin
A. Konstantinov
Stanislav R. Kirpichenko
23
0
0
28 Jun 2024
Incorporating Expert Rules into Neural Networks in the Framework of
  Concept-Based Learning
Incorporating Expert Rules into Neural Networks in the Framework of Concept-Based Learning
A. Konstantinov
Lev V. Utkin
27
3
0
22 Feb 2024
Interpretable Neural-Symbolic Concept Reasoning
Interpretable Neural-Symbolic Concept Reasoning
Pietro Barbiero
Gabriele Ciravegna
Francesco Giannini
M. Zarlenga
Lucie Charlotte Magister
Alberto Tonda
Pietro Lio'
F. Precioso
M. Jamnik
G. Marra
NAI
LRM
56
37
0
27 Apr 2023
Post-hoc Concept Bottleneck Models
Post-hoc Concept Bottleneck Models
Mert Yuksekgonul
Maggie Wang
James Y. Zou
133
182
0
31 May 2022
Naturalistic Causal Probing for Morpho-Syntax
Naturalistic Causal Probing for Morpho-Syntax
Afra Amini
Tiago Pimentel
Clara Meister
Ryan Cotterell
MILM
98
18
0
14 May 2022
Natural Language Descriptions of Deep Visual Features
Natural Language Descriptions of Deep Visual Features
Evan Hernandez
Sarah Schwettmann
David Bau
Teona Bagashvili
Antonio Torralba
Jacob Andreas
MILM
194
116
0
26 Jan 2022
Probing Classifiers: Promises, Shortcomings, and Advances
Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
221
402
0
24 Feb 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,735
0
24 Feb 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
293
0
17 Oct 2019
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