Understanding Neural Networks through Representation Erasure

24 December 2016

Jiwei Li

Dan Jurafsky

Papers citing "Understanding Neural Networks through Representation Erasure"

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Title
Automatic Sleep Staging of EEG Signals: Recent Development, Challenges, and Future Directions Huy P Phan Kaare B. Mikkelsen 19 94 0 03 Nov 2021
Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions I. Alsmadi Kashif Ahmad Mahmoud Nazzal Firoj Alam Ala I. Al-Fuqaha Abdallah Khreishah A. Algosaibi AAML 37 16 0 26 Oct 2021
Understanding Interlocking Dynamics of Cooperative Rationalization Mo Yu Yang Zhang Shiyu Chang Tommi Jaakkola 29 41 0 26 Oct 2021
Double Trouble: How to not explain a text classifier's decisions using counterfactuals synthesized by masked language models? Thang M. Pham Trung H. Bui Long Mai Anh Totti Nguyen 23 7 0 22 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 24 45 0 20 Oct 2021
A Framework for Rationale Extraction for Deep QA models Sahana Ramnath Preksha Nema Deep Sahni Mitesh M. Khapra AAML FAtt 27 0 0 09 Oct 2021
CheerBots: Chatbots toward Empathy and Emotionusing Reinforcement Learning Jiun-hao Jhan Chao-Peng Liu Shyh-Kang Jeng Hung-yi Lee 72 9 0 08 Oct 2021
D-REX: Dialogue Relation Extraction with Explanations Alon Albalak Varun R. Embar Yi-Lin Tuan Lise Getoor Wenjie Wang 67 9 0 10 Sep 2021
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction Dong-Ho Lee Ravi Kiran Selvam Sheikh Muhammad Sarwar Bill Yuchen Lin Fred Morstatter Jay Pujara Elizabeth Boschee James Allan Xiang Ren 44 2 0 10 Sep 2021
Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience G. Chrysostomou Nikolaos Aletras 37 16 0 31 Aug 2021
Discretized Integrated Gradients for Explaining Language Models Soumya Sanyal Xiang Ren FAtt 17 53 0 31 Aug 2021
T3-Vis: a visual analytic framework for Training and fine-Tuning Transformers in NLP Raymond Li Wen Xiao Lanjun Wang Hyeju Jang Giuseppe Carenini ViT 31 23 0 31 Aug 2021
Neuron-level Interpretation of Deep NLP Models: A Survey Hassan Sajjad Nadir Durrani Fahim Dalvi MILM AI4CE 40 82 0 30 Aug 2021
Doing Good or Doing Right? Exploring the Weakness of Commonsense Causal Reasoning Models Mingyue Han Yinglin Wang LRM 21 11 0 05 Jul 2021
What Context Features Can Transformer Language Models Use? J. O'Connor Jacob Andreas KELM 29 75 0 15 Jun 2021
On Sample Based Explanation Methods for NLP:Efficiency, Faithfulness, and Semantic Evaluation Wei Zhang Ziming Huang Yada Zhu Guangnan Ye Xiaodong Cui Fan Zhang 33 17 0 09 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 31 91 0 01 Jun 2021
Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification G. Chrysostomou Nikolaos Aletras 32 37 0 06 May 2021
Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training Shunsuke Kitada Hitoshi Iyatomi AAML 30 8 0 18 Apr 2021
BERT: A Review of Applications in Natural Language Processing and Understanding M. V. Koroteev VLM 25 197 0 22 Mar 2021
Contrastive Explanations for Model Interpretability Alon Jacovi Swabha Swayamdipta Shauli Ravfogel Yanai Elazar Yejin Choi Yoav Goldberg 46 95 0 02 Mar 2021
On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification Alejandro Barredo Arrieta S. Gil-Lopez I. Laña Miren Nekane Bilbao Javier Del Ser AI4TS 41 13 0 17 Feb 2021
Explain and Predict, and then Predict Again Zijian Zhang Koustav Rudra Avishek Anand FAtt 30 51 0 11 Jan 2021
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging Han Guo Nazneen Rajani Peter Hase Joey Tianyi Zhou Caiming Xiong TDI 43 102 0 31 Dec 2020
Self-Explaining Structures Improve NLP Models Zijun Sun Chun Fan Qinghong Han Xiaofei Sun Yuxian Meng Fei Wu Jiwei Li MILM XAI LRM FAtt 46 38 0 03 Dec 2020
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations João Bento Pedro Saleiro André F. Cruz Mário A. T. Figueiredo P. Bizarro FAtt AI4TS 24 88 0 30 Nov 2020
Parameterized Explainer for Graph Neural Network Dongsheng Luo Wei Cheng Dongkuan Xu Wenchao Yu Bo Zong Haifeng Chen Xiang Zhang 53 542 0 09 Nov 2020
Interpretation of NLP models through input marginalization Siwon Kim Jihun Yi Eunji Kim Sungroh Yoon MILM FAtt 30 58 0 27 Oct 2020
Geometry matters: Exploring language examples at the decision boundary Debajyoti Datta Shashwat Kumar Laura E. Barnes Tom Fletcher AAML 20 3 0 14 Oct 2020
Neural Databases James Thorne Majid Yazdani Marzieh Saeidi Fabrizio Silvestri Sebastian Riedel A. Halevy NAI 34 9 0 14 Oct 2020
The elephant in the interpretability room: Why use attention as explanation when we have saliency methods? Jasmijn Bastings Katja Filippova XAI LRM 64 175 0 12 Oct 2020
A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples Zhao Meng Roger Wattenhofer GAN AAML 35 32 0 03 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
Distillation of Weighted Automata from Recurrent Neural Networks using a Spectral Approach Rémi Eyraud Stéphane Ayache 24 16 0 28 Sep 2020
Evaluation of Local Explanation Methods for Multivariate Time Series Forecasting Ozan Ozyegen Igor Ilic Mucahit Cevik FAtt AI4TS 24 2 0 18 Sep 2020
Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis Xiaoyu Xing Zhijing Jin Di Jin Bingning Wang Qi Zhang Xuanjing Huang CoGe 21 44 0 16 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 24 36 0 13 Aug 2020
On the Generalizability of Neural Program Models with respect to Semantic-Preserving Program Transformations Md Rafiqul Islam Rabin Nghi D. Q. Bui Ke Wang Yijun Yu Lingxiao Jiang Mohammad Amin Alipour 30 90 0 31 Jul 2020
Machine Learning Explanations to Prevent Overtrust in Fake News Detection Sina Mohseni Fan Yang Shiva K. Pentyala Mengnan Du Yi Liu Nic Lupfer Xia Hu Shuiwang Ji Eric D. Ragan 21 41 0 24 Jul 2020
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport Kyle Swanson L. Yu Tao Lei OT 29 37 0 27 May 2020
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions Xiaochuang Han Byron C. Wallace Yulia Tsvetkov MILM FAtt AAML TDI 28 165 0 14 May 2020
DQI: Measuring Data Quality in NLP Swaroop Mishra Anjana Arunkumar Bhavdeep Singh Sachdeva Chris Bryan Chitta Baral 36 30 0 02 May 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 49 371 0 30 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 33 17 0 27 Apr 2020
Adversarial Attacks and Defenses: An Interpretation Perspective Ninghao Liu Mengnan Du Ruocheng Guo Huan Liu Xia Hu AAML 31 8 0 23 Apr 2020
Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples Maximilian Mozes Pontus Stenetorp Bennett Kleinberg Lewis D. Griffin AAML 30 99 0 13 Apr 2020
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection Hanjie Chen Guangtao Zheng Yangfeng Ji FAtt 38 92 0 04 Apr 2020
BAE: BERT-based Adversarial Examples for Text Classification Siddhant Garg Goutham Ramakrishnan AAML SILM 39 542 0 04 Apr 2020
HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset Diego Antognini Boi Faltings DML 25 29 0 17 Feb 2020
Description Based Text Classification with Reinforcement Learning Duo Chai Wei Wu Qinghong Han Fei Wu Jiwei Li VLM 121 66 0 08 Feb 2020