DiConStruct: Causal Concept-based Explanations through Black-Box Distillation

16 January 2024

Papers citing "DiConStruct: Causal Concept-based Explanations through Black-Box Distillation"

6 / 6 papers shown

Title
If Concept Bottlenecks are the Question, are Foundation Models the Answer? Nicola Debole Pietro Barbiero Francesco Giannini Andrea Passerini Stefano Teso Emanuele Marconato 125 0 0 28 Apr 2025
Discover and Cure: Concept-aware Mitigation of Spurious Correlation Shirley Wu Mert Yuksekgonul Linjun Zhang James Y. Zou 73 56 0 01 May 2023
Post-hoc Concept Bottleneck Models Mert Yuksekgonul Maggie Wang James Y. Zou 135 185 0 31 May 2022
Weakly Supervised Multi-task Learning for Concept-based Explainability Catarina Belém Vladimir Balayan Pedro Saleiro P. Bizarro 73 10 0 26 Apr 2021
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
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data Sergei Popov S. Morozov Artem Babenko LMTD 83 294 0 13 Sep 2019