Significance Tests for Neural Networks

16 February 2019

Papers citing "Significance Tests for Neural Networks"

7 / 7 papers shown

Title
Complexity, Statistical Risk, and Metric Entropy of Deep Nets Using Total Path Variation Andrew R. Barron Jason M. Klusowski 78 30 0 02 Feb 2019
Universal features of price formation in financial markets: perspectives from Deep Learning Justin A. Sirignano R. Cont AIFin 59 261 0 19 Mar 2018
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 124 3,954 0 06 Feb 2018
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 188 3,869 0 10 Apr 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 175 5,986 0 04 Mar 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.1K 16,931 0 16 Feb 2016
How to Explain Individual Classification Decisions D. Baehrens T. Schroeter Stefan Harmeling M. Kawanabe K. Hansen K. Müller FAtt 126 1,103 0 06 Dec 2009