CLIP-QDA: An Explainable Concept Bottleneck Model

CLIP-QDA: An Explainable Concept Bottleneck Model

30 November 2023

Rémi Kazmierczak

Eloise Berthier

Papers citing "CLIP-QDA: An Explainable Concept Bottleneck Model"

9 / 9 papers shown

Title
Benchmarking XAI Explanations with Human-Aligned Evaluations Rémi Kazmierczak Steve Azzolin Eloise Berthier Anna Hedström Patricia Delhomme ... Goran Frehse Massimiliano Mancini Baptiste Caramiaux Andrea Passerini Gianni Franchi 28 1 0 04 Nov 2024
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
Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency Maor Dikter Tsachi Blau Chaim Baskin 43 0 0 13 Jun 2024
Incorporating Expert Rules into Neural Networks in the Framework of Concept-Based Learning A. Konstantinov Lev V. Utkin 40 3 0 22 Feb 2024
Sparse Linear Concept Discovery Models Konstantinos P. Panousis Dino Ienco Diego Marcos 34 15 0 21 Aug 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 369 12,003 0 04 Mar 2022
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case Natalia Díaz Rodríguez Alberto Lamas Jules Sanchez Gianni Franchi Ivan Donadello Siham Tabik David Filliat P. Cruz Rosana Montes Francisco Herrera 49 77 0 24 Apr 2021
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval Huaishao Luo Lei Ji Ming Zhong Yang Chen Wen Lei Nan Duan Tianrui Li CLIP VLM 329 781 0 18 Apr 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 255 4,796 0 24 Feb 2021