Explaining Black Boxes on Sequential Data using Weighted Automata

12 October 2018

Papers citing "Explaining Black Boxes on Sequential Data using Weighted Automata"

11 / 11 papers shown

Title
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
Extracting Automata from Recurrent Neural Networks Using Queries and Counterexamples Gail Weiss Yoav Goldberg Eran Yahav 36 186 0 27 Nov 2017
A Maximum Matching Algorithm for Basis Selection in Spectral Learning A. Quattoni X. Carreras Matthias Gallé 31 9 0 09 Jun 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 388 3,785 0 28 Feb 2017
The Mythos of Model Interpretability Zachary Chase Lipton FaML 176 3,690 0 10 Jun 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,954 0 16 Feb 2016
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 335 19,634 0 09 Mar 2015
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 417 20,541 0 10 Sep 2014
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.0K 23,338 0 03 Jun 2014
Generating Sequences With Recurrent Neural Networks Alex Graves GAN 146 4,033 0 04 Aug 2013
A Spectral Algorithm for Learning Hidden Markov Models Daniel J. Hsu Sham Kakade Tong Zhang 178 309 0 26 Nov 2008