Rationalizing Neural Predictions

13 June 2016

Papers citing "Rationalizing Neural Predictions"

46 / 196 papers shown

Title
Do Human Rationales Improve Machine Explanations? Julia Strout Ye Zhang Raymond J. Mooney 19 57 0 31 May 2019
Leveraging Latent Features for Local Explanations Ronny Luss Pin-Yu Chen Amit Dhurandhar P. Sattigeri Yunfeng Zhang Karthikeyan Shanmugam Chun-Chen Tu FAtt 49 37 0 29 May 2019
Learning Representations by Humans, for Humans Sophie Hilgard Nir Rosenfeld M. Banaji Jack Cao David C. Parkes OCL HAI AI4CE 34 29 0 29 May 2019
Interpretable Neural Predictions with Differentiable Binary Variables Jasmijn Bastings Wilker Aziz Ivan Titov 32 211 0 20 May 2019
Explainability in Human-Agent Systems A. Rosenfeld A. Richardson XAI 27 203 0 17 Apr 2019
Guiding Extractive Summarization with Question-Answering Rewards Kristjan Arumae Fei Liu 31 33 0 04 Apr 2019
Inferring Which Medical Treatments Work from Reports of Clinical Trials Eric P. Lehman Jay DeYoung Regina Barzilay Byron C. Wallace 25 114 0 02 Apr 2019
Interpreting Neural Networks Using Flip Points Roozbeh Yousefzadeh D. O’Leary AAML FAtt 22 17 0 21 Mar 2019
Attention is not Explanation Sarthak Jain Byron C. Wallace FAtt 31 1,301 0 26 Feb 2019
Saliency Learning: Teaching the Model Where to Pay Attention Reza Ghaeini Xiaoli Z. Fern Hamed Shahbazi Prasad Tadepalli FAtt XAI 29 30 0 22 Feb 2019
Regularizing Black-box Models for Improved Interpretability Gregory Plumb Maruan Al-Shedivat Ángel Alexander Cabrera Adam Perer Eric Xing Ameet Talwalkar AAML 24 79 0 18 Feb 2019
Interpretable machine learning: definitions, methods, and applications W. James Murdoch Chandan Singh Karl Kumbier R. Abbasi-Asl Bin-Xia Yu XAI HAI 49 1,421 0 14 Jan 2019
Code Failure Prediction and Pattern Extraction using LSTM Networks Mahdi Hajiaghayi E. Vahedi 35 24 0 13 Dec 2018
A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration M. Cavallo Çağatay Demiralp 11 55 0 28 Nov 2018
On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection Vivian Lai Chenhao Tan 31 374 0 19 Nov 2018
What made you do this? Understanding black-box decisions with sufficient input subsets Brandon Carter Jonas W. Mueller Siddhartha Jain David K Gifford FAtt 39 77 0 09 Oct 2018
Assessing Composition in Sentence Vector Representations Allyson Ettinger Ahmed Elgohary C. Phillips Philip Resnik CoGe 20 78 0 11 Sep 2018
Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts Samuel Carton Qiaozhu Mei Paul Resnick FAtt AAML 21 34 0 01 Sep 2018
JUMPER: Learning When to Make Classification Decisions in Reading Xianggen Liu Lili Mou Haotian Cui Zhengdong Lu Sen Song 32 20 0 06 Jul 2018
This Looks Like That: Deep Learning for Interpretable Image Recognition Chaofan Chen Oscar Li Chaofan Tao A. Barnett Jonathan Su Cynthia Rudin 59 1,159 0 27 Jun 2018
Towards Robust Interpretability with Self-Explaining Neural Networks David Alvarez-Melis Tommi Jaakkola MILM XAI 56 933 0 20 Jun 2018
Contrastive Explanations with Local Foil Trees J. V. D. Waa M. Robeer J. Diggelen Matthieu J. S. Brinkhuis Mark Antonius Neerincx FAtt 21 82 0 19 Jun 2018
SoPa: Bridging CNNs, RNNs, and Weighted Finite-State Machines Roy Schwartz Sam Thomson Noah A. Smith 30 24 0 15 May 2018
Training Classifiers with Natural Language Explanations Braden Hancock P. Varma Stephanie Wang Martin Bringmann Percy Liang Christopher Ré FAtt 21 151 0 10 May 2018
AGI Safety Literature Review Tom Everitt G. Lea Marcus Hutter AI4CE 36 115 0 03 May 2018
Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models Hendrik Strobelt Sebastian Gehrmann M. Behrisch Adam Perer Hanspeter Pfister Alexander M. Rush VLM HAI 31 239 0 25 Apr 2018
Learning How to Self-Learn: Enhancing Self-Training Using Neural Reinforcement Learning Chenhua Chen Yue Zhang SSL 22 11 0 16 Apr 2018
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning Nicolas Papernot Patrick McDaniel OOD AAML 13 503 0 13 Mar 2018
IcoRating: A Deep-Learning System for Scam ICO Identification Shuqing Bian Zhenpeng Deng F. Li Will Monroe Peng Shi ... Sikuang Wang William Yang Wang Arianna Yuan Tianwei Zhang Jiwei Li 38 37 0 08 Mar 2018
Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections Xin Zhang Armando Solar-Lezama Rishabh Singh FAtt 27 63 0 21 Feb 2018
Explainable Prediction of Medical Codes from Clinical Text J. Mullenbach Sarah Wiegreffe J. Duke Jimeng Sun Jacob Eisenstein FAtt 29 567 0 15 Feb 2018
How do Humans Understand Explanations from Machine Learning Systems? An Evaluation of the Human-Interpretability of Explanation Menaka Narayanan Emily Chen Jeffrey He Been Kim S. Gershman Finale Doshi-Velez FAtt XAI 38 241 0 02 Feb 2018
A Computational Model of Commonsense Moral Decision Making Richard Kim Max Kleiman-Weiner A. Abeliuk E. Awad Sohan Dsouza J. Tenenbaum Iyad Rahwan 27 56 0 12 Jan 2018
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability Mike Wu M. C. Hughes S. Parbhoo Maurizio Zazzi Volker Roth Finale Doshi-Velez AI4CE 28 281 0 16 Nov 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 23 64 0 31 Aug 2017
Using Program Induction to Interpret Transition System Dynamics Svetlin Penkov S. Ramamoorthy AI4CE 35 11 0 26 Jul 2017
Contextual Explanation Networks Maruan Al-Shedivat Kumar Avinava Dubey Eric Xing CML 37 82 0 29 May 2017
Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems Wang Ling Dani Yogatama Chris Dyer Phil Blunsom AIMat 34 682 0 11 May 2017
Learning to Skim Text Adams Wei Yu Hongrae Lee Quoc V. Le RALM 38 124 0 23 Apr 2017
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations A. Ross M. C. Hughes Finale Doshi-Velez FAtt 43 583 0 10 Mar 2017
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial Graham Neubig AIMat 37 171 0 05 Mar 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,503 0 25 Jan 2017
Aspect-augmented Adversarial Networks for Domain Adaptation Yuan Zhang Regina Barzilay Tommi Jaakkola 44 96 0 01 Jan 2017
Coupling Distributed and Symbolic Execution for Natural Language Queries Lili Mou Zhengdong Lu Hang Li Zhi Jin NAI FedML 33 43 0 08 Dec 2016
A Simple, Fast Diverse Decoding Algorithm for Neural Generation Jiwei Li Will Monroe Dan Jurafsky 33 239 0 25 Nov 2016
Learning Attitudes and Attributes from Multi-Aspect Reviews Julian McAuley J. Leskovec Dan Jurafsky 200 296 0 15 Oct 2012