Visualizing and Understanding Neural Models in NLP

2 June 2015

Jiwei Li

Dan Jurafsky

Papers citing "Visualizing and Understanding Neural Models in NLP"

50 / 133 papers shown

Title
On the Lack of Robust Interpretability of Neural Text Classifiers Muhammad Bilal Zafar Michele Donini Dylan Slack Cédric Archambeau Sanjiv Ranjan Das K. Kenthapadi AAML 11 21 0 08 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 29 91 0 01 Jun 2021
On Guaranteed Optimal Robust Explanations for NLP Models Emanuele La Malfa A. Zbrzezny Rhiannon Michelmore Nicola Paoletti Marta Z. Kwiatkowska FAtt 19 47 0 08 May 2021
Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification G. Chrysostomou Nikolaos Aletras 27 37 0 06 May 2021
On the Sensitivity and Stability of Model Interpretations in NLP Fan Yin Zhouxing Shi Cho-Jui Hsieh Kai-Wei Chang FAtt 19 33 0 18 Apr 2021
Flexible Instance-Specific Rationalization of NLP Models G. Chrysostomou Nikolaos Aletras 31 14 0 16 Apr 2021
An Interpretability Illusion for BERT Tolga Bolukbasi Adam Pearce Ann Yuan Andy Coenen Emily Reif Fernanda Viégas Martin Wattenberg MILM FAtt 40 68 0 14 Apr 2021
Dodrio: Exploring Transformer Models with Interactive Visualization Zijie J. Wang Robert Turko Duen Horng Chau 34 35 0 26 Mar 2021
Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles G. Cantareira R. Mello F. Paulovich AAML 24 9 0 18 Mar 2021
DeepHate: Hate Speech Detection via Multi-Faceted Text Representations Rui Cao Roy Ka-Wei Lee Tuan-Anh Hoang 27 88 0 14 Mar 2021
Deep Bag-of-Sub-Emotions for Depression Detection in Social Media Juan S. Lara Mario Ezra Aragón Fabio Gonzalez Manuel Montes-y-Gómez 17 12 0 01 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
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging Han Guo Nazneen Rajani Peter Hase Joey Tianyi Zhou Caiming Xiong TDI 41 102 0 31 Dec 2020
Inserting Information Bottlenecks for Attribution in Transformers Zhiying Jiang Raphael Tang Ji Xin Jimmy J. Lin 41 6 0 27 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
Interpretation of NLP models through input marginalization Siwon Kim Jihun Yi Eunji Kim Sungroh Yoon MILM FAtt 22 58 0 27 Oct 2020
Interpreting convolutional networks trained on textual data Reza Marzban Christopher Crick FAtt 27 3 0 20 Oct 2020
The elephant in the interpretability room: Why use attention as explanation when we have saliency methods? Jasmijn Bastings Katja Filippova XAI LRM 49 174 0 12 Oct 2020
Linguistic Profiling of a Neural Language Model Alessio Miaschi D. Brunato F. Dell’Orletta Giulia Venturi 36 46 0 05 Oct 2020
Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization Jiaao Chen Diyi Yang 27 143 0 04 Oct 2020
A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples Zhao Meng Roger Wattenhofer GAN AAML 32 32 0 03 Oct 2020
How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text Chihiro Shibata Kei Uchiumi D. Mochihashi 19 7 0 01 Oct 2020
Analyzing COVID-19 on Online Social Media: Trends, Sentiments and Emotions Xiaoya Li Mingxin Zhou Jiawei Wu Arianna Yuan Fei Wu Jiwei Li 24 45 0 29 May 2020
An Adversarial Approach for Explaining the Predictions of Deep Neural Networks Arash Rahnama A.-Yu Tseng FAtt AAML FaML 17 5 0 20 May 2020
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions Xiaochuang Han Byron C. Wallace Yulia Tsvetkov MILM FAtt AAML TDI 23 165 0 14 May 2020
Accurate Word Alignment Induction from Neural Machine Translation Yun-Nung Chen Yang Liu Guanhua Chen Xin Jiang Qun Liu 34 60 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
How recurrent networks implement contextual processing in sentiment analysis Niru Maheswaranathan David Sussillo 22 22 0 17 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
Revisiting Paraphrase Question Generator using Pairwise Discriminator Badri N. Patro Durg Singh Chauhan V. Kurmi Vinay P. Namboodiri 22 4 0 31 Dec 2019
Neural Machine Translation: A Review and Survey Felix Stahlberg 3DV AI4TS MedIm 20 312 0 04 Dec 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
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 39 6,119 0 22 Oct 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
Disentangling Latent Emotions of Word Embeddings on Complex Emotional Narratives Zhengxuan Wu Yueyi (Sherry) Jiang 22 4 0 15 Aug 2019
Automatically Learning Construction Injury Precursors from Text Henrietta Baker Matthew R. Hallowell A. Tixier 36 101 0 26 Jul 2019
Visual Interaction with Deep Learning Models through Collaborative Semantic Inference Sebastian Gehrmann Hendrik Strobelt Robert Krüger Hanspeter Pfister Alexander M. Rush HAI 21 57 0 24 Jul 2019
Understanding Memory Modules on Learning Simple Algorithms Kexin Wang Yu Zhou Shaonan Wang Jiajun Zhang Chengqing Zong 34 0 0 01 Jul 2019
Saliency-driven Word Alignment Interpretation for Neural Machine Translation Shuoyang Ding Hainan Xu Philipp Koehn 22 55 0 25 Jun 2019
Incorporating Priors with Feature Attribution on Text Classification Frederick Liu Besim Avci FAtt FaML 31 120 0 19 Jun 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
Do Human Rationales Improve Machine Explanations? Julia Strout Ye Zhang Raymond J. Mooney 19 57 0 31 May 2019
An Evaluation of Transfer Learning for Classifying Sales Engagement Emails at Large Scale Yong Liu Pavel A. Dmitriev Yifei Huang Andrew Brooks Li Dong 16 4 0 19 Apr 2019
Linguistic Knowledge and Transferability of Contextual Representations Nelson F. Liu Matt Gardner Yonatan Belinkov Matthew E. Peters Noah A. Smith 52 719 0 21 Mar 2019
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn Sebastian Lapuschkin S. Wäldchen Alexander Binder G. Montavon Wojciech Samek K. Müller 17 996 0 26 Feb 2019
Saliency Learning: Teaching the Model Where to Pay Attention Reza Ghaeini Xiaoli Z. Fern Hamed Shahbazi Prasad Tadepalli FAtt XAI 27 30 0 22 Feb 2019
Code Failure Prediction and Pattern Extraction using LSTM Networks Mahdi Hajiaghayi E. Vahedi 32 24 0 13 Dec 2018
A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration M. Cavallo Çağatay Demiralp 11 55 0 28 Nov 2018