Causality in Neural Networks -- An Extended Abstract

3 June 2021

Papers citing "Causality in Neural Networks -- An Extended Abstract"

7 / 7 papers shown

Title
Learning Causal Models Online Khurram Javed Martha White Yoshua Bengio CML 53 33 0 12 Jun 2020
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset Muhammad Waleed Gondal Manuel Wüthrich Ðorðe Miladinovic Francesco Locatello M. Breidt V. Volchkov J. Akpo Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD DRL 118 138 0 07 Jun 2019
Neural Network Attributions: A Causal Perspective Aditya Chattopadhyay Piyushi Manupriya Anirban Sarkar V. Balasubramanian CML 74 146 0 06 Feb 2019
Counterfactual Fairness Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo M. A. Silva FaML 228 1,588 0 20 Mar 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,071 0 16 Feb 2016
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 458 16,922 0 20 Dec 2013
Direct and Indirect Effects Judea Pearl CML 100 2,179 0 10 Jan 2013