TreeView: Peeking into Deep Neural Networks Via Feature-Space
Partitioning

TreeView: Peeking into Deep Neural Networks Via Feature-Space Partitioning

22 November 2016

Jayaraman J. Thiagarajan

Karthikeyan N. Ramamurthy

Papers citing "TreeView: Peeking into Deep Neural Networks Via Feature-Space Partitioning"

10 / 10 papers shown

Title
Neural Basis Models for Interpretability Filip Radenovic Abhimanyu Dubey D. Mahajan FAtt 35 46 0 27 May 2022
Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications Yu-Liang Chou Catarina Moreira P. Bruza Chun Ouyang Joaquim A. Jorge CML 47 176 0 07 Mar 2021
Why model why? Assessing the strengths and limitations of LIME Jurgen Dieber S. Kirrane FAtt 26 97 0 30 Nov 2020
Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AI A. Tavanaei XAI 12 31 0 19 Jun 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 41 6,125 0 22 Oct 2019
Testing and verification of neural-network-based safety-critical control software: A systematic literature review Jin Zhang Jingyue Li 25 47 0 05 Oct 2019
Generative Counterfactual Introspection for Explainable Deep Learning Shusen Liu B. Kailkhura Donald Loveland Yong Han 25 90 0 06 Jul 2019
Interpreting Layered Neural Networks via Hierarchical Modular Representation C. Watanabe 21 19 0 03 Oct 2018
Contrastive Explanations with Local Foil Trees J. V. D. Waa M. Robeer J. Diggelen Matthieu J. S. Brinkhuis Mark Antonius Neerincx FAtt 24 82 0 19 Jun 2018
Interpretable Deep Convolutional Neural Networks via Meta-learning Xuan Liu Xiaoguang Wang Stan Matwin FaML 27 38 0 02 Feb 2018