Refining Language Models with Compositional Explanations

18 March 2021

Xiang Ren

Papers citing "Refining Language Models with Compositional Explanations"

33 / 33 papers shown

Title
Model Adaptation: Unsupervised Domain Adaptation without Source Data Rui Li Qianfen Jiao Wenming Cao Hau-San Wong Si Wu OOD 193 482 0 26 Feb 2025
FIND: Human-in-the-Loop Debugging Deep Text Classifiers Piyawat Lertvittayakumjorn Lucia Specia Francesca Toni 28 54 0 10 Oct 2020
Contextualizing Hate Speech Classifiers with Post-hoc Explanation Brendan Kennedy Xisen Jin Aida Mostafazadeh Davani Morteza Dehghani Xiang Ren 76 141 0 05 May 2020
Teaching Machine Comprehension with Compositional Explanations Qinyuan Ye Xiao Huang Elizabeth Boschee Xiang Ren LRM ReLM 52 34 0 02 May 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation Jian Liang Dapeng Hu Jiashi Feng 87 1,225 0 20 Feb 2020
Learning from Explanations with Neural Execution Tree Ziqi Wang Yujia Qin Wenxuan Zhou Jun Yan Qinyuan Ye Leonardo Neves Zhiyuan Liu Xiang Ren LRM 41 41 0 04 Nov 2019
Interpretations are useful: penalizing explanations to align neural networks with prior knowledge Laura Rieger Chandan Singh W. James Murdoch Bin Yu FAtt 75 213 0 30 Sep 2019
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Zhenzhong Lan Mingda Chen Sebastian Goodman Kevin Gimpel Piyush Sharma Radu Soricut SSL AIMat 294 6,420 0 26 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 471 24,160 0 26 Jul 2019
Improving performance of deep learning models with axiomatic attribution priors and expected gradients G. Erion Joseph D. Janizek Pascal Sturmfels Scott M. Lundberg Su-In Lee OOD BDL FAtt 45 81 0 25 Jun 2019
Incorporating Priors with Feature Attribution on Text Classification Frederick Liu Besim Avci FAtt FaML 72 120 0 19 Jun 2019
Regularizing Black-box Models for Improved Interpretability Gregory Plumb Maruan Al-Shedivat Ángel Alexander Cabrera Adam Perer Eric Xing Ameet Talwalkar AAML 54 79 0 18 Feb 2019
Moment Matching for Multi-Source Domain Adaptation Xingchao Peng Qinxun Bai Xide Xia Zijun Huang Kate Saenko Bo Wang OOD 128 1,769 0 04 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.3K 93,936 0 11 Oct 2018
Hate Speech Dataset from a White Supremacy Forum Ona de Gibert Naiara Pérez Aitor García-Pablos Montse Cuadros 58 417 0 12 Sep 2018
Training Classifiers with Natural Language Explanations Braden Hancock P. Varma Stephanie Wang Martin Bringmann Percy Liang Christopher Ré FAtt 48 152 0 10 May 2018
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 101 3,922 0 06 Feb 2018
Explicit Inductive Bias for Transfer Learning with Convolutional Networks Xuhong Li Yves Grandvalet Franck Davoine SSL 74 349 0 05 Feb 2018
Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm Bjarke Felbo A. Mislove Anders Søgaard Iyad Rahwan Sune Lehmann 77 741 0 01 Aug 2017
Neural Domain Adaptation for Biomedical Question Answering Georg Wiese Dirk Weissenborn Mariana Neves MedIm OOD 65 112 0 12 Jun 2017
Representation Stability as a Regularizer for Improved Text Analytics Transfer Learning Matthew D Riemer Elham Khabiri Richard Goodwin CLL 63 17 0 12 Apr 2017
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations A. Ross M. C. Hughes Finale Doshi-Velez FAtt 113 585 0 10 Mar 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 151 5,920 0 04 Mar 2017
Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning Werner Zellinger Thomas Grubinger E. Lughofer T. Natschläger Susanne Saminger-Platz OOD 99 567 0 28 Feb 2017
Visualizing Deep Neural Network Decisions: Prediction Difference Analysis L. Zintgraf Taco S. Cohen T. Adel Max Welling FAtt 126 707 0 15 Feb 2017
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering Ruining He Julian McAuley 119 2,048 0 04 Feb 2016
Transfer Learning for Speech and Language Processing Dong Wang Tianshi Zheng 57 219 0 19 Nov 2015
Return of Frustratingly Easy Domain Adaptation Baochen Sun Jiashi Feng Kate Saenko OOD 76 1,831 0 17 Nov 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 292 19,523 0 09 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.2K 149,474 0 22 Dec 2014
Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin Victor Lempitsky OOD 229 5,990 0 26 Sep 2014
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 172 4,946 0 06 Oct 2013
Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars Luke S. Zettlemoyer M. Collins 105 973 0 04 Jul 2012