Interpretable Neural Predictions with Differentiable Binary Variables

20 May 2019

Papers citing "Interpretable Neural Predictions with Differentiable Binary Variables"

50 / 149 papers shown

Title
On the Impact of Temporal Concept Drift on Model Explanations Zhixue Zhao G. Chrysostomou Kalina Bontcheva Nikolaos Aletras 18 15 0 17 Oct 2022
Controlling Bias Exposure for Fair Interpretable Predictions Zexue He Yu-Xiang Wang Julian McAuley Bodhisattwa Prasad Majumder 22 19 0 14 Oct 2022
InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions Bodhisattwa Prasad Majumder Zexue He Julian McAuley 16 5 0 14 Oct 2022
On the Explainability of Natural Language Processing Deep Models Julia El Zini M. Awad 29 82 0 13 Oct 2022
Conversational Semantic Role Labeling with Predicate-Oriented Latent Graph Hao Fei Shengqiong Wu Meishan Zhang Yafeng Ren Donghong Ji 35 22 0 06 Oct 2022
Towards Faithful Model Explanation in NLP: A Survey Qing Lyu Marianna Apidianaki Chris Callison-Burch XAI 114 107 0 22 Sep 2022
CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking Xuming Hu Zhijiang Guo Guan-Huei Wu Aiwei Liu Lijie Wen Philip S. Yu HILM 23 45 0 06 Jun 2022
Interpretability Guarantees with Merlin-Arthur Classifiers S. Wäldchen Kartikey Sharma Berkant Turan Max Zimmer Sebastian Pokutta FAtt 24 4 0 01 Jun 2022
A Fine-grained Interpretability Evaluation Benchmark for Neural NLP Lijie Wang Yaozong Shen Shu-ping Peng Shuai Zhang Xinyan Xiao Hao Liu Hongxuan Tang Ying-Cong Chen Hua Wu Haifeng Wang ELM 19 21 0 23 May 2022
Interlock-Free Multi-Aspect Rationalization for Text Classification Shuang Li Diego Antognini Boi Faltings 25 0 0 13 May 2022
RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced Labour Erick Mendez Guzman Viktor Schlegel R. Batista-Navarro 14 8 0 05 May 2022
Assistive Recipe Editing through Critiquing Diego Antognini Shuyang Li Boi Faltings Julian McAuley 22 2 0 05 May 2022
ExSum: From Local Explanations to Model Understanding Yilun Zhou Marco Tulio Ribeiro J. Shah FAtt LRM 19 25 0 30 Apr 2022
Can Rationalization Improve Robustness? Howard Chen Jacqueline He Karthik Narasimhan Danqi Chen AAML 23 40 0 25 Apr 2022
It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation Classifiers Zheng Tang Mihai Surdeanu 19 6 0 25 Apr 2022
Learning to Scaffold: Optimizing Model Explanations for Teaching Patrick Fernandes Marcos Vinícius Treviso Danish Pruthi André F. T. Martins Graham Neubig FAtt 25 22 0 22 Apr 2022
ProtoTEx: Explaining Model Decisions with Prototype Tensors Anubrata Das Chitrank Gupta Venelin Kovatchev Matthew Lease J. Li 26 26 0 11 Apr 2022
Towards Explainable Evaluation Metrics for Natural Language Generation Christoph Leiter Piyawat Lertvittayakumjorn M. Fomicheva Wei-Ye Zhao Yang Gao Steffen Eger AAML ELM 27 20 0 21 Mar 2022
Are Shortest Rationales the Best Explanations for Human Understanding? Hua Shen Tongshuang Wu Wenbo Guo Ting-Hao 'Kenneth' Huang FAtt 15 11 0 16 Mar 2022
Controlling the Focus of Pretrained Language Generation Models Jiabao Ji Yoon Kim James R. Glass Tianxing He 35 5 0 02 Mar 2022
An Empirical Study on Explanations in Out-of-Domain Settings G. Chrysostomou Nikolaos Aletras LRM 17 27 0 28 Feb 2022
Hierarchical Interpretation of Neural Text Classification Hanqi Yan Lin Gui Yulan He 45 14 0 20 Feb 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 28 396 0 20 Jan 2022
Learning with Latent Structures in Natural Language Processing: A Survey Zhaofeng Wu BDL DRL 13 4 0 03 Jan 2022
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction Dongfang Li Baotian Hu Qingcai Chen Tujie Xu Jingcong Tao Yunan Zhang 29 12 0 20 Dec 2021
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction Aaron Chan Maziar Sanjabi Lambert Mathias L Tan Shaoliang Nie Xiaochang Peng Xiang Ren Hamed Firooz 41 41 0 16 Dec 2021
Sparse Interventions in Language Models with Differentiable Masking Nicola De Cao Leon Schmid Dieuwke Hupkes Ivan Titov 40 27 0 13 Dec 2021
What to Learn, and How: Toward Effective Learning from Rationales Samuel Carton Surya Kanoria Chenhao Tan 45 22 0 30 Nov 2021
Towards Interpretable and Reliable Reading Comprehension: A Pipeline Model with Unanswerability Prediction Kosuke Nishida Kyosuke Nishida Itsumi Saito Sen Yoshida 38 7 0 17 Nov 2021
Few-Shot Self-Rationalization with Natural Language Prompts Ana Marasović Iz Beltagy Doug Downey Matthew E. Peters LRM 26 106 0 16 Nov 2021
Rationale production to support clinical decision-making Niall Taylor Lei Sha Dan W Joyce Thomas Lukasiewicz A. Nevado-Holgado Andrey Kormilitzin FAtt 14 4 0 15 Nov 2021
Understanding Interlocking Dynamics of Cooperative Rationalization Mo Yu Yang Zhang Shiyu Chang Tommi Jaakkola 20 41 0 26 Oct 2021
Interpreting Deep Learning Models in Natural Language Processing: A Review Xiaofei Sun Diyi Yang Xiaoya Li Tianwei Zhang Yuxian Meng Han Qiu Guoyin Wang Eduard H. Hovy Jiwei Li 17 44 0 20 Oct 2021
The Irrationality of Neural Rationale Models Yiming Zheng Serena Booth J. Shah Yilun Zhou 35 16 0 14 Oct 2021
To be Closer: Learning to Link up Aspects with Opinions Yuxiang Zhou L. Liao Yang Gao Zhanming Jie Wei Lu 25 35 0 17 Sep 2021
Rationales for Sequential Predictions Keyon Vafa Yuntian Deng David M. Blei Alexander M. Rush 12 33 0 14 Sep 2021
FaxPlainAC: A Fact-Checking Tool Based on EXPLAINable Models with HumAn Correction in the Loop Zijian Zhang Koustav Rudra Avishek Anand KELM 11 13 0 12 Sep 2021
Logic Traps in Evaluating Attribution Scores Yiming Ju Yuanzhe Zhang Zhao Yang Zhongtao Jiang Kang Liu Jun Zhao XAI FAtt 25 18 0 12 Sep 2021
SPECTRA: Sparse Structured Text Rationalization Nuno M. Guerreiro André F. T. Martins 6 26 0 09 Sep 2021
Diagnostics-Guided Explanation Generation Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein LRM FAtt 38 6 0 08 Sep 2021
Survey of Low-Resource Machine Translation Barry Haddow Rachel Bawden Antonio Valerio Miceli Barone Jindvrich Helcl Alexandra Birch AIMat 31 148 0 01 Sep 2021
Are Training Resources Insufficient? Predict First Then Explain! Myeongjun Jang Thomas Lukasiewicz LRM 21 7 0 29 Aug 2021
Sparse Communication via Mixed Distributions António Farinhas Wilker Aziz Vlad Niculae André F. T. Martins 25 3 0 05 Aug 2021
Sparse Continuous Distributions and Fenchel-Young Losses André F. T. Martins Marcos Vinícius Treviso António Farinhas P. Aguiar Mário A. T. Figueiredo Mathieu Blondel Vlad Niculae 23 11 0 04 Aug 2021
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations Bodhisattwa Prasad Majumder Oana-Maria Camburu Thomas Lukasiewicz Julian McAuley 25 35 0 25 Jun 2021
Learnt Sparsification for Interpretable Graph Neural Networks Mandeep Rathee Zijian Zhang Thorben Funke Megha Khosla Avishek Anand 17 3 0 23 Jun 2021
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations Peter Hase Harry Xie Joey Tianyi Zhou OODD LRM FAtt 18 91 0 01 Jun 2021
DoT: An efficient Double Transformer for NLP tasks with tables Syrine Krichene Thomas Müller Julian Martin Eisenschlos 12 14 0 01 Jun 2021
Distribution Matching for Rationalization Yongfeng Huang Yujun Chen Yulun Du Zhilin Yang OOD 26 16 0 01 Jun 2021
EASE: Extractive-Abstractive Summarization with Explanations Haoran Li Arash Einolghozati Srini Iyer Bhargavi Paranjape Yashar Mehdad Sonal Gupta Marjan Ghazvininejad 25 10 0 14 May 2021