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A survey on Concept-based Approaches For Model Improvement

A survey on Concept-based Approaches For Model Improvement

21 March 2024
Avani Gupta
P. J. Narayanan
    LRM
ArXivPDFHTML

Papers citing "A survey on Concept-based Approaches For Model Improvement"

13 / 13 papers shown
Title
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens
Samuele Bortolotti
Emanuele Marconato
Paolo Morettin
Andrea Passerini
Stefano Teso
61
2
0
16 Feb 2025
Concept Complement Bottleneck Model for Interpretable Medical Image
  Diagnosis
Concept Complement Bottleneck Model for Interpretable Medical Image Diagnosis
Hongmei Wang
Junlin Hou
Hao Chen
31
0
0
20 Oct 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
36
0
0
28 Jun 2024
Neural Concept Binder
Neural Concept Binder
Wolfgang Stammer
Antonia Wüst
David Steinmann
Kristian Kersting
OCL
34
4
0
14 Jun 2024
Human Uncertainty in Concept-Based AI Systems
Human Uncertainty in Concept-Based AI Systems
Katherine M. Collins
Matthew Barker
M. Zarlenga
Naveen Raman
Umang Bhatt
M. Jamnik
Ilia Sucholutsky
Adrian Weller
Krishnamurthy Dvijotham
58
39
0
22 Mar 2023
GlanceNets: Interpretabile, Leak-proof Concept-based Models
GlanceNets: Interpretabile, Leak-proof Concept-based Models
Emanuele Marconato
Andrea Passerini
Stefano Teso
106
64
0
31 May 2022
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture
  Classification
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification
Zhibin Liao
Kewen Liao
Haifeng Shen
M. F. van Boxel
J. Prijs
R. Jaarsma
J. Doornberg
A. Hengel
Johan W. Verjans
21
14
0
21 Mar 2022
Right for the Right Latent Factors: Debiasing Generative Models via
  Disentanglement
Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement
Xiaoting Shao
Karl Stelzner
Kristian Kersting
CML
DRL
22
3
0
01 Feb 2022
Interactive Disentanglement: Learning Concepts by Interacting with their
  Prototype Representations
Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations
Wolfgang Stammer
Marius Memmel
P. Schramowski
Kristian Kersting
91
26
0
04 Dec 2021
Unsupervised Causal Binary Concepts Discovery with VAE for Black-box
  Model Explanation
Unsupervised Causal Binary Concepts Discovery with VAE for Black-box Model Explanation
Thien Q. Tran
Kazuto Fukuchi
Youhei Akimoto
Jun Sakuma
CML
37
10
0
09 Sep 2021
A Survey on Neural Network Interpretability
A Survey on Neural Network Interpretability
Yu Zhang
Peter Tiño
A. Leonardis
K. Tang
FaML
XAI
141
660
0
28 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
122
297
0
17 Oct 2019
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
230
31,253
0
16 Jan 2013
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