v1v2 (latest)

Rationalizing Neural Predictions

13 June 2016

Papers citing "Rationalizing Neural Predictions"

27 / 327 papers shown

Title
Extracting Automata from Recurrent Neural Networks Using Queries and Counterexamples Gail Weiss Yoav Goldberg Eran Yahav 103 187 0 27 Nov 2017
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability Mike Wu M. C. Hughes S. Parbhoo Maurizio Zazzi Volker Roth Finale Doshi-Velez AI4CE 155 284 0 16 Nov 2017
Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions Oscar Li Hao Liu Chaofan Chen Cynthia Rudin 213 594 0 13 Oct 2017
R $^3$ : Reinforced Reader-Ranker for Open-Domain Question Answering Shuohang Wang Mo Yu Xiaoxiao Guo Zhiguo Wang Tim Klinger Wei Zhang Shiyu Chang Gerald Tesauro Bowen Zhou Jing Jiang RALM 97 64 0 31 Aug 2017
Using Program Induction to Interpret Transition System Dynamics Svetlin Penkov S. Ramamoorthy AI4CE 71 11 0 26 Jul 2017
A causal framework for explaining the predictions of black-box sequence-to-sequence models David Alvarez-Melis Tommi Jaakkola CML 370 206 0 06 Jul 2017
TIP: Typifying the Interpretability of Procedures Amit Dhurandhar Vijay Iyengar Ronny Luss Karthikeyan Shanmugam 98 36 0 09 Jun 2017
Contextual Explanation Networks Maruan Al-Shedivat Kumar Avinava Dubey Eric Xing CML 114 83 0 29 May 2017
Detecting and Explaining Crisis Rohan Kshirsagar R. Morris Samuel R. Bowman 36 28 0 26 May 2017
Grounded Recurrent Neural Networks Ankit Vani Yacine Jernite David Sontag AI4MH 84 24 0 23 May 2017
Explaining Transition Systems through Program Induction Svetlin Penkov S. Ramamoorthy 71 5 0 23 May 2017
Patchnet: Interpretable Neural Networks for Image Classification Adityanarayanan Radhakrishnan Charles Durham Ali Soylemezoglu Caroline Uhler FAtt 38 12 0 23 May 2017
A Regularized Framework for Sparse and Structured Neural Attention Vlad Niculae Mathieu Blondel 96 100 0 22 May 2017
Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems Wang Ling Dani Yogatama Chris Dyer Phil Blunsom AIMat 191 738 0 11 May 2017
Learning Structured Natural Language Representations for Semantic Parsing Jianpeng Cheng Siva Reddy V. Saraswat Mirella Lapata NAI 162 76 0 27 Apr 2017
Learning to Skim Text Adams Wei Yu Hongrae Lee Quoc V. Le RALM 101 124 0 23 Apr 2017
MUSE: Modularizing Unsupervised Sense Embeddings Guang-He Lee Yun-Nung Chen 43 35 0 15 Apr 2017
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations A. Ross M. C. Hughes Finale Doshi-Velez FAtt 184 595 0 10 Mar 2017
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial Graham Neubig AIMat 117 173 0 05 Mar 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 481 3,837 0 28 Feb 2017
Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study John P. Lalor Hao Wu Tsendsuren Munkhdalai Hong-ye Yu ELM 59 3 0 15 Feb 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 355 1,551 0 25 Jan 2017
Aspect-augmented Adversarial Networks for Domain Adaptation Yuan Zhang Regina Barzilay Tommi Jaakkola 126 96 0 01 Jan 2017
Understanding Neural Networks through Representation Erasure Jiwei Li Will Monroe Dan Jurafsky AAML MILM 161 570 0 24 Dec 2016
Coupling Distributed and Symbolic Execution for Natural Language Queries Lili Mou Zhengdong Lu Hang Li Zhi Jin NAI FedML 139 43 0 08 Dec 2016
A Simple, Fast Diverse Decoding Algorithm for Neural Generation Jiwei Li Will Monroe Dan Jurafsky 92 240 0 25 Nov 2016
Hierarchical Question Answering for Long Documents Eunsol Choi D. Hewlett Alexandre Lacoste Illia Polosukhin Jakob Uszkoreit Jonathan Berant RALM 103 168 0 06 Nov 2016