Understanding Neural Networks through Representation Erasure

24 December 2016

Jiwei Li

Dan Jurafsky

Papers citing "Understanding Neural Networks through Representation Erasure"

49 / 149 papers shown

Title
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 43 301 0 08 Jan 2020
Generalizing Natural Language Analysis through Span-relation Representations Zhengbao Jiang Wenyuan Xu Jun Araki Graham Neubig 33 60 0 10 Nov 2019
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control Mo Yu Shiyu Chang Yang Zhang Tommi Jaakkola 21 140 0 29 Oct 2019
A Game Theoretic Approach to Class-wise Selective Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 22 60 0 28 Oct 2019
CXPlain: Causal Explanations for Model Interpretation under Uncertainty Patrick Schwab W. Karlen FAtt CML 40 206 0 27 Oct 2019
Perturbation Sensitivity Analysis to Detect Unintended Model Biases Vinodkumar Prabhakaran Ben Hutchinson Margaret Mitchell 22 117 0 09 Oct 2019
Towards Explainable Artificial Intelligence Wojciech Samek K. Müller XAI 32 437 0 26 Sep 2019
Explaining and Interpreting LSTMs L. Arras Jose A. Arjona-Medina Michael Widrich G. Montavon Michael Gillhofer K. Müller Sepp Hochreiter Wojciech Samek FAtt AI4TS 21 79 0 25 Sep 2019
Learning to Deceive with Attention-Based Explanations Danish Pruthi Mansi Gupta Bhuwan Dhingra Graham Neubig Zachary Chase Lipton 19 193 0 17 Sep 2019
Towards Understanding Neural Machine Translation with Word Importance Shilin He Zhaopeng Tu Xing Wang Longyue Wang Michael R. Lyu Shuming Shi AAML 26 39 0 01 Sep 2019
Universal Adversarial Triggers for Attacking and Analyzing NLP Eric Wallace Shi Feng Nikhil Kandpal Matt Gardner Sameer Singh AAML SILM 60 842 0 20 Aug 2019
Understanding Memory Modules on Learning Simple Algorithms Kexin Wang Yu Zhou Shaonan Wang Jiajun Zhang Chengqing Zong 34 0 0 01 Jul 2019
ML-LOO: Detecting Adversarial Examples with Feature Attribution Puyudi Yang Jianbo Chen Cho-Jui Hsieh Jane-ling Wang Michael I. Jordan AAML 22 101 0 08 Jun 2019
Combating Adversarial Misspellings with Robust Word Recognition Danish Pruthi Bhuwan Dhingra Zachary Chase Lipton 25 300 0 27 May 2019
Software and application patterns for explanation methods Maximilian Alber 38 11 0 09 Apr 2019
Semantics Preserving Adversarial Learning Ousmane Amadou Dia Elnaz Barshan Reza Babanezhad AAML GAN 36 2 0 10 Mar 2019
Reliable Deep Grade Prediction with Uncertainty Estimation Qian Hu Huzefa Rangwala 26 39 0 26 Feb 2019
Attention is not Explanation Sarthak Jain Byron C. Wallace FAtt 31 1,301 0 26 Feb 2019
Re-evaluating ADEM: A Deeper Look at Scoring Dialogue Responses Ananya B. Sai Mithun Das Gupta Mitesh M. Khapra Mukundhan Srinivasan 27 48 0 23 Feb 2019
Saliency Learning: Teaching the Model Where to Pay Attention Reza Ghaeini Xiaoli Z. Fern Hamed Shahbazi Prasad Tadepalli FAtt XAI 32 30 0 22 Feb 2019
Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation Sahil Singla Eric Wallace Shi Feng S. Feizi FAtt 34 59 0 01 Feb 2019
Code Failure Prediction and Pattern Extraction using LSTM Networks Mahdi Hajiaghayi E. Vahedi 35 24 0 13 Dec 2018
Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification Qi Lei Lingfei Wu Pin-Yu Chen A. Dimakis Inderjit S. Dhillon Michael Witbrock AAML 21 92 0 01 Dec 2018
Explaining Deep Learning Models - A Bayesian Non-parametric Approach Wenbo Guo Sui Huang Yunzhe Tao Masashi Sugiyama Lin Lin BDL 16 47 0 07 Nov 2018
Identifying and Controlling Important Neurons in Neural Machine Translation A. Bau Yonatan Belinkov Hassan Sajjad Nadir Durrani Fahim Dalvi James R. Glass MILM 21 180 0 03 Nov 2018
Attack Graph Convolutional Networks by Adding Fake Nodes Xiaoyun Wang Minhao Cheng Joe Eaton Cho-Jui Hsieh S. F. Wu AAML GNN 33 78 0 25 Oct 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 42 77 0 09 Oct 2018
Training Machine Learning Models by Regularizing their Explanations A. Ross FaML 26 0 0 29 Sep 2018
Assessing Composition in Sentence Vector Representations Allyson Ettinger Ahmed Elgohary C. Phillips Philip Resnik CoGe 20 78 0 11 Sep 2018
Interpreting Neural Networks With Nearest Neighbors Eric Wallace Shi Feng Jordan L. Boyd-Graber AAML FAtt MILM 23 53 0 08 Sep 2018
Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts Samuel Carton Qiaozhu Mei Paul Resnick FAtt AAML 21 34 0 01 Sep 2018
Dissecting Contextual Word Embeddings: Architecture and Representation Matthew E. Peters Mark Neumann Luke Zettlemoyer Wen-tau Yih 35 428 0 27 Aug 2018
Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference Reza Ghaeini Xiaoli Z. Fern Prasad Tadepalli MILM 20 97 0 12 Aug 2018
Hierarchical interpretations for neural network predictions Chandan Singh W. James Murdoch Bin Yu 31 145 0 14 Jun 2018
SoPa: Bridging CNNs, RNNs, and Weighted Finite-State Machines Roy Schwartz Sam Thomson Noah A. Smith 33 24 0 15 May 2018
State Gradients for RNN Memory Analysis Lyan Verwimp Hugo Van hamme Vincent Renkens P. Wambacq 13 6 0 11 May 2018
Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness V. Carmona Jeff Mitchell Sebastian Riedel 35 44 0 11 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 31 239 0 25 Apr 2018
Explanation Methods in Deep Learning: Users, Values, Concerns and Challenges Gabrielle Ras Marcel van Gerven W. Haselager XAI 17 217 0 20 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 38 37 0 08 Mar 2018
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples Minhao Cheng Jinfeng Yi Pin-Yu Chen Huan Zhang Cho-Jui Hsieh SILM AAML 54 242 0 03 Mar 2018
Before Name-calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation Ivan Habernal Henning Wachsmuth Iryna Gurevych Benno Stein 44 83 0 19 Feb 2018
Generating Natural Adversarial Examples Zhengli Zhao Dheeru Dua Sameer Singh GAN AAML 40 596 0 31 Oct 2017
Learning to Generate Reviews and Discovering Sentiment Alec Radford Rafal Jozefowicz Ilya Sutskever 44 506 0 05 Apr 2017
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations A. Ross M. C. Hughes Finale Doshi-Velez FAtt 51 583 0 10 Mar 2017
Representations of language in a model of visually grounded speech signal Grzegorz Chrupała Lieke Gelderloos Afra Alishahi 41 131 0 07 Feb 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,505 0 25 Jan 2017
Representation of linguistic form and function in recurrent neural networks Ákos Kádár Grzegorz Chrupała Afra Alishahi 27 162 0 29 Feb 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 220 7,930 0 17 Aug 2015