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Rationalizing Neural Predictions

13 June 2016

Papers citing "Rationalizing Neural Predictions"

50 / 327 papers shown

Title
A Framework for Explainable Text Classification in Legal Document Review Christian J. Mahoney Jianping Zhang Nathaniel Huber-Fliflet Peter Gronvall Haozhen Zhao AILaw 41 33 0 19 Dec 2019
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey Vanessa Buhrmester David Münch Michael Arens MLAU FaML XAI AAML 135 369 0 27 Nov 2019
Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response Sheikh Rabiul Islam W. Eberle S. Ghafoor Ambareen Siraj Mike Rogers 77 39 0 22 Nov 2019
ERASER: A Benchmark to Evaluate Rationalized NLP Models Jay DeYoung Sarthak Jain Nazneen Rajani Eric P. Lehman Caiming Xiong R. Socher Byron C. Wallace 177 641 0 08 Nov 2019
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control Mo Yu Shiyu Chang Yang Zhang Tommi Jaakkola 160 146 0 29 Oct 2019
A Game Theoretic Approach to Class-wise Selective Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 66 62 0 28 Oct 2019
Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning Jingjing Wang Changlong Sun Shoushan Li Jiancheng Wang Luo Si Min Zhang Xiaozhong Liu Guodong Zhou 70 22 0 21 Oct 2019
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods Oana-Maria Camburu Eleonora Giunchiglia Jakob N. Foerster Thomas Lukasiewicz Phil Blunsom FAtt AAML 115 61 0 04 Oct 2019
Weakly Supervised Attention Networks for Fine-Grained Opinion Mining and Public Health Giannis Karamanolakis Daniel J. Hsu Luis Gravano 54 11 0 30 Sep 2019
Automatic Fact-guided Sentence Modification Darsh J. Shah Tal Schuster Regina Barzilay KELM 86 40 0 30 Sep 2019
KnowBias: Detecting Political Polarity in Long Text Content Aditya Saligrama 45 1 0 22 Sep 2019
Representation Learning for Electronic Health Records W. Weng Peter Szolovits 81 19 0 19 Sep 2019
Finding Generalizable Evidence by Learning to Convince Q&A Models Ethan Perez Siddharth Karamcheti Rob Fergus Jason Weston Douwe Kiela Kyunghyun Cho RALM 84 38 0 12 Sep 2019
Select and Attend: Towards Controllable Content Selection in Text Generation Xiaoyu Shen Jun Suzuki Kentaro Inui Hui Su Dietrich Klakow Satoshi Sekine 76 29 0 10 Sep 2019
Learning Fair Rule Lists Ulrich Aïvodji Julien Ferry Sébastien Gambs Marie-José Huguet Mohamed Siala FaML 67 11 0 09 Sep 2019
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques Vijay Arya Rachel K. E. Bellamy Pin-Yu Chen Amit Dhurandhar Michael Hind ... Karthikeyan Shanmugam Moninder Singh Kush R. Varshney Dennis L. Wei Yunfeng Zhang XAI 85 392 0 06 Sep 2019
Human-grounded Evaluations of Explanation Methods for Text Classification Piyawat Lertvittayakumjorn Francesca Toni FAtt 98 67 0 29 Aug 2019
Attention is not not Explanation Sarah Wiegreffe Yuval Pinter XAI AAML FAtt 130 915 0 13 Aug 2019
Learning Credible Deep Neural Networks with Rationale Regularization Mengnan Du Ninghao Liu Fan Yang Helen Zhou FaML 103 46 0 13 Aug 2019
Visual Interaction with Deep Learning Models through Collaborative Semantic Inference Sebastian Gehrmann Hendrik Strobelt Robert Krüger Hanspeter Pfister Alexander M. Rush HAI 101 58 0 24 Jul 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI Erico Tjoa Cuntai Guan XAI 202 1,466 0 17 Jul 2019
Evaluating Explanation Without Ground Truth in Interpretable Machine Learning Fan Yang Mengnan Du Helen Zhou XAI ELM 74 67 0 16 Jul 2019
On the Privacy Risks of Model Explanations Reza Shokri Martin Strobel Yair Zick MIACV PILM SILM FAtt 147 38 0 29 Jun 2019
Learning Patient Engagement in Care Management: Performance vs. Interpretability Subhro Das Chandramouli Maduri Ching-Hua Chen P. Hsueh 22 1 0 19 Jun 2019
Incorporating Priors with Feature Attribution on Text Classification Frederick Liu Besim Avci FAtt FaML 116 120 0 19 Jun 2019
E3: Entailment-driven Extracting and Editing for Conversational Machine Reading Victor Zhong Luke Zettlemoyer 67 28 0 12 Jun 2019
Is Attention Interpretable? Sofia Serrano Noah A. Smith 122 689 0 09 Jun 2019
Explain Yourself! Leveraging Language Models for Commonsense Reasoning Nazneen Rajani Bryan McCann Caiming Xiong R. Socher ReLM LRM 139 567 0 06 Jun 2019
Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning Noel Codella Michael Hind Karthikeyan N. Ramamurthy Murray Campbell Amit Dhurandhar Kush R. Varshney Dennis L. Wei Aleksandra Mojsilović 62 4 0 05 Jun 2019
An Imitation Learning Approach to Unsupervised Parsing Bowen Li Lili Mou Frank Keller 89 24 0 05 Jun 2019
A Just and Comprehensive Strategy for Using NLP to Address Online Abuse David Jurgens Eshwar Chandrasekharan Libby Hemphill 85 138 0 04 Jun 2019
Assessing the Ability of Self-Attention Networks to Learn Word Order Baosong Yang Longyue Wang Derek F. Wong Lidia S. Chao Zhaopeng Tu 75 32 0 03 Jun 2019
Model Agnostic Contrastive Explanations for Structured Data Amit Dhurandhar Tejaswini Pedapati Avinash Balakrishnan Pin-Yu Chen Karthikeyan Shanmugam Ruchi Puri FAtt 88 83 0 31 May 2019
Do Human Rationales Improve Machine Explanations? Julia Strout Ye Zhang Raymond J. Mooney 89 58 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 124 38 0 29 May 2019
Learning Representations by Humans, for Humans Sophie Hilgard Nir Rosenfeld M. Banaji Jack Cao David C. Parkes OCL HAI AI4CE 106 29 0 29 May 2019
EDUCE: Explaining model Decisions through Unsupervised Concepts Extraction Diane Bouchacourt Ludovic Denoyer FAtt 74 21 0 28 May 2019
DSReg: Using Distant Supervision as a Regularizer Yuxian Meng Muyu Li Xiaoya Li Wei Wu Jiwei Li 84 3 0 28 May 2019
Infusing domain knowledge in AI-based "black box" models for better explainability with application in bankruptcy prediction Sheikh Rabiul Islam W. Eberle Sid Bundy S. Ghafoor MLAU 69 23 0 27 May 2019
Interpretable Neural Predictions with Differentiable Binary Variables Jasmijn Bastings Wilker Aziz Ivan Titov 96 215 0 20 May 2019
KnowBias: A Novel AI Method to Detect Polarity in Online Content Aditya Saligrama 36 2 0 02 May 2019
Explainability in Human-Agent Systems A. Rosenfeld A. Richardson XAI 86 207 0 17 Apr 2019
A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification Huiping Zhuang Wenxuan Zhou Xin Liu Yangqiu Song 49 21 0 10 Apr 2019
Guiding Extractive Summarization with Question-Answering Rewards Kristjan Arumae Fei Liu 88 34 0 04 Apr 2019
Inferring Which Medical Treatments Work from Reports of Clinical Trials Eric P. Lehman Jay DeYoung Regina Barzilay Byron C. Wallace 121 115 0 02 Apr 2019
Interpreting Neural Networks Using Flip Points Roozbeh Yousefzadeh D. O’Leary AAML FAtt 47 17 0 21 Mar 2019
Attention is not Explanation Sarthak Jain Byron C. Wallace FAtt 187 1,333 0 26 Feb 2019
Functional Transparency for Structured Data: a Game-Theoretic Approach Guang-He Lee Wengong Jin David Alvarez-Melis Tommi Jaakkola 75 19 0 26 Feb 2019
Saliency Learning: Teaching the Model Where to Pay Attention Reza Ghaeini Xiaoli Z. Fern Hamed Shahbazi Prasad Tadepalli FAtt XAI 102 31 0 22 Feb 2019
Explaining a black-box using Deep Variational Information Bottleneck Approach Seo-Jin Bang P. Xie Heewook Lee Wei Wu Eric Xing XAI FAtt 77 77 0 19 Feb 2019