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Rationalizing Neural Predictions

13 June 2016

Papers citing "Rationalizing Neural Predictions"

50 / 327 papers shown

Title
A Survey on the Explainability of Supervised Machine Learning Nadia Burkart Marco F. Huber FaML XAI 77 784 0 16 Nov 2020
DoLFIn: Distributions over Latent Features for Interpretability Phong Le Willem H. Zuidema FAtt 30 0 0 10 Nov 2020
Weakly- and Semi-supervised Evidence Extraction Danish Pruthi Bhuwan Dhingra Graham Neubig Zachary Chase Lipton 83 23 0 03 Nov 2020
Measuring Association Between Labels and Free-Text Rationales Sarah Wiegreffe Ana Marasović Noah A. Smith 356 182 0 24 Oct 2020
Coherent Hierarchical Multi-Label Classification Networks Eleonora Giunchiglia Thomas Lukasiewicz AILaw 219 100 0 20 Oct 2020
Explaining and Improving Model Behavior with k Nearest Neighbor Representations Nazneen Rajani Ben Krause Wengpeng Yin Tong Niu R. Socher Caiming Xiong FAtt 72 34 0 18 Oct 2020
The elephant in the interpretability room: Why use attention as explanation when we have saliency methods? Jasmijn Bastings Katja Filippova XAI LRM 116 179 0 12 Oct 2020
Weakly Supervised Medication Regimen Extraction from Medical Conversations Dhruvesh Patel Sandeep Konam Sai P. Selvaraj MedIm 44 9 0 11 Oct 2020
FIND: Human-in-the-Loop Debugging Deep Text Classifiers Piyawat Lertvittayakumjorn Lucia Specia Francesca Toni 65 54 0 10 Oct 2020
Evaluating and Characterizing Human Rationales Samuel Carton Anirudh Rathore Chenhao Tan 79 49 0 09 Oct 2020
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision Max Glockner Ivan Habernal Iryna Gurevych LRM 103 26 0 07 Oct 2020
Explaining Deep Neural Networks Oana-Maria Camburu XAI FAtt 110 26 0 04 Oct 2020
Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers Hanjie Chen Yangfeng Ji AAML VLM 122 66 0 01 Oct 2020
A Diagnostic Study of Explainability Techniques for Text Classification Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein XAI FAtt 112 226 0 25 Sep 2020
Improving Robustness and Generality of NLP Models Using Disentangled Representations Jiawei Wu Xiaoya Li Xiang Ao Yuxian Meng Leilei Gan Jiwei Li OOD DRL 43 11 0 21 Sep 2020
Can We Trust Your Explanations? Sanity Checks for Interpreters in Android Malware Analysis Ming Fan Wenying Wei Xiaofei Xie Yang Liu X. Guan Ting Liu FAtt AAML 102 38 0 13 Aug 2020
Automated Topical Component Extraction Using Neural Network Attention Scores from Source-based Essay Scoring Haoran Zhang Diane Litman 78 10 0 04 Aug 2020
Explainable Predictive Process Monitoring Musabir Musabayli F. Maggi Williams Rizzi Josep Carmona Chiara Di Francescomarino 75 61 0 04 Aug 2020
Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning Satyananda Kashyap Alexandros Karargyris Joy T. Wu Yaniv Gur Arjun Sharma Ken C. L. Wong Mehdi Moradi Tanveer Syeda-Mahmood OOD 51 13 0 02 Aug 2020
Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification Cristina Garbacea Mengtian Guo Samuel Carton Qiaozhu Mei 60 28 0 31 Jul 2020
Are Visual Explanations Useful? A Case Study in Model-in-the-Loop Prediction Eric Chu D. Roy Jacob Andreas FAtt LRM 86 71 0 23 Jul 2020
BERTology Meets Biology: Interpreting Attention in Protein Language Models Jesse Vig Ali Madani Lav Varshney Caiming Xiong R. Socher Nazneen Rajani 119 295 0 26 Jun 2020
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance Gagan Bansal Tongshuang Wu Joyce Zhou Raymond Fok Besmira Nushi Ece Kamar Marco Tulio Ribeiro Daniel S. Weld 153 607 0 26 Jun 2020
SEAL: Segment-wise Extractive-Abstractive Long-form Text Summarization Yao-Min Zhao Mohammad Saleh Peter J. Liu RALM 102 25 0 18 Jun 2020
Gradient Estimation with Stochastic Softmax Tricks Max B. Paulus Dami Choi Daniel Tarlow Andreas Krause Chris J. Maddison BDL 106 88 0 15 Jun 2020
XGNN: Towards Model-Level Explanations of Graph Neural Networks Haonan Yuan Jiliang Tang Helen Zhou Shuiwang Ji 116 402 0 03 Jun 2020
Aligning Faithful Interpretations with their Social Attribution Alon Jacovi Yoav Goldberg 83 106 0 01 Jun 2020
Explainable Artificial Intelligence: a Systematic Review Giulia Vilone Luca Longo XAI 118 271 0 29 May 2020
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions Xiaochuang Han Byron C. Wallace Yulia Tsvetkov MILM FAtt AAML TDI 104 175 0 14 May 2020
Don't Explain without Verifying Veracity: An Evaluation of Explainable AI with Video Activity Recognition Mahsan Nourani Chiradeep Roy Tahrima Rahman Eric D. Ragan Nicholas Ruozzi Vibhav Gogate AAML 69 18 0 05 May 2020
Evaluating Explanation Methods for Neural Machine Translation Jierui Li Lemao Liu Huayang Li Guanlin Li Guoping Huang Shuming Shi 51 23 0 04 May 2020
Rationalizing Medical Relation Prediction from Corpus-level Statistics Zhen Wang Jennifer A Lee Simon M. Lin Huan Sun OOD 37 4 0 02 May 2020
ESPRIT: Explaining Solutions to Physical Reasoning Tasks Nazneen Rajani Rui Zhang Y. Tan Stephan Zheng Jeremy C. Weiss Aadit Vyas Abhijit Gupta Caiming Xiong R. Socher Dragomir R. Radev ReLM LRM 75 21 0 02 May 2020
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction Bhargavi Paranjape Mandar Joshi John Thickstun Hannaneh Hajishirzi Luke Zettlemoyer 89 101 0 01 May 2020
Learning to Faithfully Rationalize by Construction Sarthak Jain Sarah Wiegreffe Yuval Pinter Byron C. Wallace 97 165 0 30 Apr 2020
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking Nicola De Cao Michael Schlichtkrull Wilker Aziz Ivan Titov 76 92 0 30 Apr 2020
Fact or Fiction: Verifying Scientific Claims David Wadden Shanchuan Lin Kyle Lo Lucy Lu Wang Madeleine van Zuylen Arman Cohan Hannaneh Hajishirzi HAI 208 466 0 30 Apr 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 120 382 0 30 Apr 2020
Towards Transparent and Explainable Attention Models Akash Kumar Mohankumar Preksha Nema Sharan Narasimhan Mitesh M. Khapra Balaji Vasan Srinivasan Balaraman Ravindran 86 102 0 29 Apr 2020
The Explanation Game: Towards Prediction Explainability through Sparse Communication Marcos Vinícius Treviso André F. T. Martins FAtt 70 3 0 28 Apr 2020
Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data B. Shickel Parisa Rashidi AI4TS 70 18 0 27 Apr 2020
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection Hanjie Chen Guangtao Zheng Yangfeng Ji FAtt 117 95 0 04 Apr 2020
Invariant Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 249 207 0 22 Mar 2020
Harnessing Explanations to Bridge AI and Humans Vivian Lai Samuel Carton Chenhao Tan 59 5 0 16 Mar 2020
Explainable Deep Modeling of Tabular Data using TableGraphNet G. Terejanu Jawad Chowdhury Rezaur Rashid Asif J. Chowdhury LMTD FAtt 21 3 0 12 Feb 2020
Multi-Objective Molecule Generation using Interpretable Substructures Wengong Jin Regina Barzilay Tommi Jaakkola 98 23 0 08 Feb 2020
Description Based Text Classification with Reinforcement Learning Duo Chai Wei Wu Qinghong Han Leilei Gan Jiwei Li VLM 181 68 0 08 Feb 2020
"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans Vivian Lai Han Liu Chenhao Tan 107 143 0 14 Jan 2020
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 96 318 0 08 Jan 2020
Text Classification for Azerbaijani Language Using Machine Learning and Embedding U. Suleymanov Behnam Kiani Kalejahi Elkhan Amrahov Rashid Badirkhanli 30 9 0 26 Dec 2019