The Explanation Game: Towards Prediction Explainability through Sparse
Communication

The Explanation Game: Towards Prediction Explainability through Sparse Communication

28 April 2020

Marcos Vinícius Treviso

André F. T. Martins

Papers citing "The Explanation Game: Towards Prediction Explainability through Sparse Communication"

5 / 5 papers shown

Title
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations Siddhant Arora Danish Pruthi Norman M. Sadeh William W. Cohen Zachary Chase Lipton Graham Neubig FAtt 40 38 0 17 Dec 2021
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 260 620 0 04 Dec 2018
A causal framework for explaining the predictions of black-box sequence-to-sequence models David Alvarez-Melis Tommi Jaakkola CML 232 201 0 06 Jul 2017
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 257 3,684 0 28 Feb 2017