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Rationalizing Neural Predictions

13 June 2016

Papers citing "Rationalizing Neural Predictions"

50 / 327 papers shown

Title
Regularizing Black-box Models for Improved Interpretability Gregory Plumb Maruan Al-Shedivat Ángel Alexander Cabrera Adam Perer Eric Xing Ameet Talwalkar AAML 128 80 0 18 Feb 2019
LS-Tree: Model Interpretation When the Data Are Linguistic Jianbo Chen Michael I. Jordan 66 18 0 11 Feb 2019
Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI Shane T. Mueller R. Hoffman W. Clancey Abigail Emrey Gary Klein XAI 76 286 0 05 Feb 2019
Interpretable machine learning: definitions, methods, and applications W. James Murdoch Chandan Singh Karl Kumbier R. Abbasi-Asl Bin Yu XAI HAI 215 1,459 0 14 Jan 2019
Analysis Methods in Neural Language Processing: A Survey Yonatan Belinkov James R. Glass 144 558 0 21 Dec 2018
Code Failure Prediction and Pattern Extraction using LSTM Networks Mahdi Hajiaghayi E. Vahedi 46 24 0 13 Dec 2018
Understanding Unequal Gender Classification Accuracy from Face Images Vidya Muthukumar Tejaswini Pedapati Nalini Ratha P. Sattigeri C. Wu Brian Kingsbury Abhishek Kumar Samuel Thomas Aleksandra Mojsilović Kush R. Varshney CVBM 80 50 0 30 Nov 2018
A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration M. Cavallo Çağatay Demiralp 57 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 100 380 0 19 Nov 2018
Understanding Learned Models by Identifying Important Features at the Right Resolution Kyubin Lee Akshay Sood M. Craven 67 8 0 18 Nov 2018
TED: Teaching AI to Explain its Decisions Michael Hind Dennis L. Wei Murray Campbell Noel Codella Amit Dhurandhar Aleksandra Mojsilović Karthikeyan N. Ramamurthy Kush R. Varshney 95 111 0 12 Nov 2018
Deep Weighted Averaging Classifiers Dallas Card Michael J.Q. Zhang Hao Tang 96 41 0 06 Nov 2018
Towards Explainable NLP: A Generative Explanation Framework for Text Classification Hui Liu Qingyu Yin William Yang Wang 125 148 0 01 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 90 79 0 09 Oct 2018
Understanding Convolutional Neural Networks for Text Classification Alon Jacovi Oren Sar Shalom Yoav Goldberg FAtt 90 221 0 21 Sep 2018
Improving Moderation of Online Discussions via Interpretable Neural Models Andrej Svec Matúš Pikuliak Marian Simko Maria Bielikova 42 20 0 18 Sep 2018
Deep Learning in Information Security S. Thaler Vlado Menkovski M. Petković 63 10 0 12 Sep 2018
Assessing Composition in Sentence Vector Representations Allyson Ettinger Ahmed Elgohary C. Phillips Philip Resnik CoGe 81 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 131 34 0 01 Sep 2018
Deriving Machine Attention from Human Rationales Yujia Bao Shiyu Chang Mo Yu Regina Barzilay 48 107 0 28 Aug 2018
Making Efficient Use of a Domain Expert's Time in Relation Extraction Linara Adilova Sven Giesselbach S. Rüping 11 3 0 12 Jul 2018
JUMPER: Learning When to Make Classification Decisions in Reading Xianggen Liu Lili Mou Haotian Cui Zhengdong Lu Sen Song 64 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 357 1,192 0 27 Jun 2018
Towards Robust Interpretability with Self-Explaining Neural Networks David Alvarez-Melis Tommi Jaakkola MILM XAI 159 951 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 79 82 0 19 Jun 2018
Teaching Meaningful Explanations Noel Codella Michael Hind Karthikeyan N. Ramamurthy Murray Campbell Amit Dhurandhar Kush R. Varshney Dennis L. Wei Aleksandra Mojsilović FAtt XAI 71 7 0 29 May 2018
Semantic Explanations of Predictions Freddy Lecue Jiewen Wu FAtt 31 11 0 27 May 2018
Reinforced Extractive Summarization with Question-Focused Rewards Kristjan Arumae Fei Liu 60 31 0 25 May 2018
SoPa: Bridging CNNs, RNNs, and Weighted Finite-State Machines Roy Schwartz Sam Thomson Noah A. Smith 79 24 0 15 May 2018
State Gradients for RNN Memory Analysis Lyan Verwimp Hugo Van hamme Vincent Renkens P. Wambacq 49 6 0 11 May 2018
Training Classifiers with Natural Language Explanations Braden Hancock P. Varma Stephanie Wang Martin Bringmann Percy Liang Christopher Ré FAtt 118 155 0 10 May 2018
AGI Safety Literature Review Tom Everitt G. Lea Marcus Hutter AI4CE 86 116 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 76 240 0 25 Apr 2018
Integrating Stance Detection and Fact Checking in a Unified Corpus R. Baly Mitra Mohtarami James R. Glass Lluís Màrquez i Villodre Alessandro Moschitti Preslav Nakov 94 148 0 21 Apr 2018
Pathologies of Neural Models Make Interpretations Difficult Shi Feng Eric Wallace Alvin Grissom II Mohit Iyyer Pedro Rodriguez Jordan L. Boyd-Graber AAML FAtt 110 322 0 20 Apr 2018
Toward Intelligent Autonomous Agents for Cyber Defense: Report of the 2017 Workshop by the North Atlantic Treaty Organization (NATO) Research Group IST-152-RTG Alexander Kott R. Thomas Martin Drašar Markus Kont A. Poylisher ... H. Harney Gregory Wehner A. Guarino Jana Komárková James Rowell 50 10 0 20 Apr 2018
Learning How to Self-Learn: Enhancing Self-Training Using Neural Reinforcement Learning Chenhua Chen Yue Zhang SSL 73 11 0 16 Apr 2018
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning Nicolas Papernot Patrick McDaniel OOD AAML 159 509 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 55 37 0 08 Mar 2018
Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions Hai Ye Xin Jiang Zhunchen Luo Wen-Han Chao 80 132 0 23 Feb 2018
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives Amit Dhurandhar Pin-Yu Chen Ronny Luss Chun-Chen Tu Pai-Shun Ting Karthikeyan Shanmugam Payel Das FAtt 190 592 0 21 Feb 2018
Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections Xin Zhang Armando Solar-Lezama Rishabh Singh FAtt 115 63 0 21 Feb 2018
Explainable Prediction of Medical Codes from Clinical Text J. Mullenbach Sarah Wiegreffe J. Duke Jimeng Sun Jacob Eisenstein FAtt 101 576 0 15 Feb 2018
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 279 4,012 0 06 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 115 243 0 02 Feb 2018
Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling Tao Shen Dinesh Manocha Guodong Long Jing Jiang Sen Wang Chengqi Zhang AI4TS 144 144 0 31 Jan 2018
Deep Learning for Sentiment Analysis : A Survey Lei Zhang Shuai Wang Bing-Quan Liu VLM 108 1,639 0 24 Jan 2018
Evaluating neural network explanation methods using hybrid documents and morphological agreement Nina Pörner Benjamin Roth Hinrich Schütze 69 9 0 19 Jan 2018
A Human-Grounded Evaluation Benchmark for Local Explanations of Machine Learning Sina Mohseni Jeremy E. Block Eric D. Ragan FAtt XAI 95 62 0 16 Jan 2018
A Computational Model of Commonsense Moral Decision Making Richard Kim Max Kleiman-Weiner A. Abeliuk E. Awad Sohan Dsouza J. Tenenbaum Iyad Rahwan 77 56 0 12 Jan 2018