Interpretable Neural Predictions with Differentiable Binary Variables

20 May 2019

Papers citing "Interpretable Neural Predictions with Differentiable Binary Variables"

49 / 149 papers shown

Title
Rationalization through Concepts Diego Antognini Boi Faltings FAtt 27 19 0 11 May 2021
Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification G. Chrysostomou Nikolaos Aletras 21 37 0 06 May 2021
Do Feature Attribution Methods Correctly Attribute Features? Yilun Zhou Serena Booth Marco Tulio Ribeiro J. Shah FAtt XAI 33 132 0 27 Apr 2021
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning Aaron Chan Lyne Tchapmi Bo Long Soumya Sanyal Tanishq Gupta Xiang Ren ReLM LRM 24 11 0 18 Apr 2021
Flexible Instance-Specific Rationalization of NLP Models G. Chrysostomou Nikolaos Aletras 31 14 0 16 Apr 2021
Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks Hanjie Chen Song Feng Jatin Ganhotra H. Wan Chulaka Gunasekara Sachindra Joshi Yangfeng Ji 17 18 0 09 Apr 2021
Reconciling the Discrete-Continuous Divide: Towards a Mathematical Theory of Sparse Communication André F. T. Martins 22 1 0 01 Apr 2021
Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases Ilias Chalkidis Manos Fergadiotis D. Tsarapatsanis Nikolaos Aletras Ion Androutsopoulos Prodromos Malakasiotis AILaw 21 107 0 24 Mar 2021
SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers Dheeraj Rajagopal Vidhisha Balachandran Eduard H. Hovy Yulia Tsvetkov MILM SSL FAtt AI4TS 19 65 0 23 Mar 2021
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 35 48 0 20 Mar 2021
Explain and Predict, and then Predict Again Zijian Zhang Koustav Rudra Avishek Anand FAtt 20 51 0 11 Jan 2021
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation Kushal Lakhotia Bhargavi Paranjape Asish Ghoshal Wen-tau Yih Yashar Mehdad Srini Iyer 25 27 0 31 Dec 2020
Explaining NLP Models via Minimal Contrastive Editing (MiCE) Alexis Ross Ana Marasović Matthew E. Peters 33 119 0 27 Dec 2020
Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration Lei Sha Oana-Maria Camburu Thomas Lukasiewicz 133 35 0 16 Dec 2020
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision Faeze Brahman Vered Shwartz Rachel Rudinger Yejin Choi LRM 15 42 0 14 Dec 2020
DoLFIn: Distributions over Latent Features for Interpretability Phong Le Willem H. Zuidema FAtt 13 0 0 10 Nov 2020
Weakly- and Semi-supervised Evidence Extraction Danish Pruthi Bhuwan Dhingra Graham Neubig Zachary Chase Lipton 4 23 0 03 Nov 2020
Measuring Association Between Labels and Free-Text Rationales Sarah Wiegreffe Ana Marasović Noah A. Smith 282 170 0 24 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 11 32 0 18 Oct 2020
Adaptive Feature Selection for End-to-End Speech Translation Biao Zhang Ivan Titov Barry Haddow Rico Sennrich 8 40 0 16 Oct 2020
The elephant in the interpretability room: Why use attention as explanation when we have saliency methods? Jasmijn Bastings Katja Filippova XAI LRM 46 173 0 12 Oct 2020
Weakly Supervised Medication Regimen Extraction from Medical Conversations Dhruvesh Patel Sandeep Konam Sai P. Selvaraj MedIm 6 9 0 11 Oct 2020
Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language? Peter Hase Shiyue Zhang Harry Xie Joey Tianyi Zhou 18 99 0 08 Oct 2020
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision Max Glockner Ivan Habernal Iryna Gurevych LRM 27 25 0 07 Oct 2020
Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers Hanjie Chen Yangfeng Ji AAML VLM 15 63 0 01 Oct 2020
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking M. Schlichtkrull Nicola De Cao Ivan Titov AI4CE 36 214 0 01 Oct 2020
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity Gonçalo M. Correia Vlad Niculae Wilker Aziz André F. T. Martins BDL 30 22 0 03 Jul 2020
BERTology Meets Biology: Interpreting Attention in Protein Language Models Jesse Vig Ali Madani L. Varshney Caiming Xiong R. Socher Nazneen Rajani 29 288 0 26 Jun 2020
Aligning Faithful Interpretations with their Social Attribution Alon Jacovi Yoav Goldberg 15 105 0 01 Jun 2020
Concept Matching for Low-Resource Classification Federico Errica Ludovic Denoyer Bora Edizel Fabio Petroni Vassilis Plachouras Fabrizio Silvestri Sebastian Riedel 11 2 0 01 Jun 2020
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport Kyle Swanson L. Yu Tao Lei OT 29 37 0 27 May 2020
A multi-component framework for the analysis and design of explainable artificial intelligence S. Atakishiyev H. Babiker Nawshad Farruque R. Goebel1 Myeongjung Kima M. H. Motallebi J. Rabelo T. Syed O. R. Zaïane 46 35 0 05 May 2020
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction Bhargavi Paranjape Mandar Joshi John Thickstun Hannaneh Hajishirzi Luke Zettlemoyer 20 97 0 01 May 2020
Learning to Faithfully Rationalize by Construction Sarthak Jain Sarah Wiegreffe Yuval Pinter Byron C. Wallace 19 158 0 30 Apr 2020
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking Nicola De Cao M. Schlichtkrull Wilker Aziz Ivan Titov 25 89 0 30 Apr 2020
The Explanation Game: Towards Prediction Explainability through Sparse Communication Marcos Vinícius Treviso André F. T. Martins FAtt 27 3 0 28 Apr 2020
On Sparsifying Encoder Outputs in Sequence-to-Sequence Models Biao Zhang Ivan Titov Rico Sennrich 6 13 0 24 Apr 2020
Invariant Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 182 201 0 22 Mar 2020
ERASER: A Benchmark to Evaluate Rationalized NLP Models Jay DeYoung Sarthak Jain Nazneen Rajani Eric P. Lehman Caiming Xiong R. Socher Byron C. Wallace 41 626 0 08 Nov 2019
Making the Best Use of Review Summary for Sentiment Analysis Sen Yang Leyang Cui Jun Xie Yue Zhang 25 0 0 07 Nov 2019
A Latent Morphology Model for Open-Vocabulary Neural Machine Translation Duygu Ataman Wilker Aziz Alexandra Birch 27 16 0 30 Oct 2019
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control Mo Yu Shiyu Chang Yang Zhang Tommi Jaakkola 21 140 0 29 Oct 2019
Structured Pruning of Large Language Models Ziheng Wang Jeremy Wohlwend Tao Lei 24 281 0 10 Oct 2019
What do Deep Networks Like to Read? Jonas Pfeiffer Aishwarya Kamath Iryna Gurevych Sebastian Ruder 16 3 0 10 Sep 2019
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning Wenling Shang Alexander R. Trott Stephan Zheng Caiming Xiong R. Socher 22 18 0 01 Jul 2019
EDUCE: Explaining model Decisions through Unsupervised Concepts Extraction Diane Bouchacourt Ludovic Denoyer FAtt 26 21 0 28 May 2019
A causal framework for explaining the predictions of black-box sequence-to-sequence models David Alvarez-Melis Tommi Jaakkola CML 232 200 0 06 Jul 2017
A Decomposable Attention Model for Natural Language Inference Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit 213 1,367 0 06 Jun 2016
Learning Attitudes and Attributes from Multi-Aspect Reviews Julian McAuley J. Leskovec Dan Jurafsky 200 296 0 15 Oct 2012