A Survey on Neural Network Interpretability

28 December 2020

Papers citing "A Survey on Neural Network Interpretability"

8 / 8 papers shown

Title
Deriving Equivalent Symbol-Based Decision Models from Feedforward Neural Networks Sebastian Seidel Uwe M. Borghoff 26 0 0 16 Apr 2025
Feature Importance Ranking for Deep Learning Maksymilian Wojtas Ke Chen 110 101 0 18 Oct 2020
BRPO: Batch Residual Policy Optimization Kentaro Kanamori Yinlam Chow Takuya Takagi Hiroki Arimura Honglak Lee Ken Kobayashi Craig Boutilier OffRL 121 48 0 08 Feb 2020
Global optimality conditions for deep neural networks Chulhee Yun S. Sra Ali Jadbabaie 108 117 0 08 Jul 2017
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 222 2,069 0 24 Jun 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 219 2,098 0 28 Feb 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,435 0 26 Sep 2016
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 173 1,134 0 30 Nov 2014