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Sparse Linear Concept Discovery Models

Sparse Linear Concept Discovery Models

21 August 2023
Konstantinos P. Panousis
Dino Ienco
Diego Marcos
ArXivPDFHTML

Papers citing "Sparse Linear Concept Discovery Models"

13 / 13 papers shown
Title
IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports
IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports
Yuyan Ge
Kwan Ho Ryan Chan
Pablo Messina
René Vidal
43
0
0
30 Apr 2025
Transformation of audio embeddings into interpretable, concept-based representations
Transformation of audio embeddings into interpretable, concept-based representations
Alice Zhang
Edison Thomaz
Lie Lu
29
0
0
18 Apr 2025
Unlocking Open-Set Language Accessibility in Vision Models
Fawaz Sammani
Jonas Fischer
Nikos Deligiannis
VLM
55
0
0
14 Mar 2025
AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and
  Accurate Diagnosis
AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis
T. Chowdhury
Vu Minh Hieu Phan
Kewen Liao
Minh Nguyen Nhat To
Yutong Xie
Anton Van Den Hengel
Johan W. Verjans
Zhibin Liao
22
1
0
04 Aug 2024
Stochastic Concept Bottleneck Models
Stochastic Concept Bottleneck Models
Moritz Vandenhirtz
Sonia Laguna
Ricards Marcinkevics
Julia E. Vogt
46
9
0
27 Jun 2024
Improving Concept Alignment in Vision-Language Concept Bottleneck Models
Improving Concept Alignment in Vision-Language Concept Bottleneck Models
Nithish Muthuchamy Selvaraj
Xiaobao Guo
Bingquan Shen
A. Kong
Alex C. Kot
VLM
46
0
0
03 May 2024
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation
T. Chowdhury
Kewen Liao
Vu Minh Hieu Phan
Minh Nguyen Nhat To
Yutong Xie
Kevin Hung
David Ross
Anton Van Den Hengel
Johan W. Verjans
Zhibin Liao
17
1
0
03 Apr 2024
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)
Usha Bhalla
Alexander X. Oesterling
Suraj Srinivas
Flavio du Pin Calmon
Himabindu Lakkaraju
41
35
0
16 Feb 2024
CLIP-QDA: An Explainable Concept Bottleneck Model
CLIP-QDA: An Explainable Concept Bottleneck Model
Rémi Kazmierczak
Eloise Berthier
Goran Frehse
Gianni Franchi
19
7
0
30 Nov 2023
DISCOVER: Making Vision Networks Interpretable via Competition and
  Dissection
DISCOVER: Making Vision Networks Interpretable via Competition and Dissection
Konstantinos P. Panousis
S. Chatzis
27
5
0
07 Oct 2023
SPADE: Sparsity-Guided Debugging for Deep Neural Networks
SPADE: Sparsity-Guided Debugging for Deep Neural Networks
Arshia Soltani Moakhar
Eugenia Iofinova
Elias Frantar
Dan Alistarh
37
1
0
06 Oct 2023
Coarse-to-Fine Concept Bottleneck Models
Coarse-to-Fine Concept Bottleneck Models
Konstantinos P. Panousis
Dino Ienco
Diego Marcos
28
5
0
03 Oct 2023
Post-hoc Concept Bottleneck Models
Post-hoc Concept Bottleneck Models
Mert Yuksekgonul
Maggie Wang
James Zou
145
185
0
31 May 2022
1