Learning to Explain: An Information-Theoretic Perspective on Model Interpretation

21 February 2018

Papers citing "Learning to Explain: An Information-Theoretic Perspective on Model Interpretation"

50 / 302 papers shown

Title
On the Explainability of Natural Language Processing Deep Models Julia El Zini M. Awad 31 82 0 13 Oct 2022
APSNet: Attention Based Point Cloud Sampling Yang Ye Xiulong Yang Shihao Ji 3DPC 37 6 0 11 Oct 2022
Boundary-Aware Uncertainty for Feature Attribution Explainers Davin Hill A. Masoomi Max Torop S. Ghimire Jennifer Dy FAtt 68 3 0 05 Oct 2022
SIMPLE: A Gradient Estimator for $k$ -Subset Sampling Kareem Ahmed Zhe Zeng Mathias Niepert Mathias Niepert BDL 48 25 0 04 Oct 2022
Sequential Attention for Feature Selection T. Yasuda M. Bateni Lin Chen Matthew Fahrbach Gang Fu Vahab Mirrokni 39 11 0 29 Sep 2022
L2XGNN: Learning to Explain Graph Neural Networks G. Serra Mathias Niepert 40 7 0 28 Sep 2022
WeightedSHAP: analyzing and improving Shapley based feature attributions Yongchan Kwon James Zou TDI FAtt 29 33 0 27 Sep 2022
Towards Faithful Model Explanation in NLP: A Survey Qing Lyu Marianna Apidianaki Chris Callison-Burch XAI 117 109 0 22 Sep 2022
Statement-Level Vulnerability Detection: Learning Vulnerability Patterns Through Information Theory and Contrastive Learning Van Nguyen Trung Le Chakkrit Tantithamthavorn Michael Fu John C. Grundy Hung Nguyen S. Çamtepe Paul Quirk Dinh Q. Phung 46 4 0 20 Sep 2022
Concept-Based Explanations for Tabular Data Varsha Pendyala Jihye Choi FaML XAI FAtt 28 3 0 13 Sep 2022
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models Pasquale Minervini Luca Franceschi Mathias Niepert 48 11 0 11 Sep 2022
Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps Alireza Ganjdanesh Shangqian Gao Heng-Chiao Huang FAtt AAML 33 19 0 07 Sep 2022
Parameter Averaging for Feature Ranking Talip Uçar Ehsan Hajiramezanali 30 0 0 05 Aug 2022
Privacy and Transparency in Graph Machine Learning: A Unified Perspective Megha Khosla 31 4 0 22 Jul 2022
Towards Explainability in NLP: Analyzing and Calculating Word Saliency through Word Properties Jialiang Dong Zhitao Guan Longfei Wu Zijian Zhang Xiaojiang Du XAI AAML FAtt MILM 22 2 0 17 Jul 2022
A novel evaluation methodology for supervised Feature Ranking algorithms Jeroen G. S. Overschie 16 0 0 09 Jul 2022
An Additive Instance-Wise Approach to Multi-class Model Interpretation Vy Vo Van Nguyen Trung Le Quan Hung Tran Gholamreza Haffari S. Çamtepe Dinh Q. Phung FAtt 48 5 0 07 Jul 2022
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data Dugang Liu Pengxiang Cheng Hong Zhu Xing Tang Yanyu Chen Xiaoting Wang Weike Pan Zhong Ming Xiuqiang He TDI 33 10 0 06 Jul 2022
Learning to Increase the Power of Conditional Randomization Tests Shalev Shaer Yaniv Romano CML 33 2 0 03 Jul 2022
FlowX: Towards Explainable Graph Neural Networks via Message Flows Shurui Gui Hao Yuan Jie Wang Qicheng Lao Kang Li Shuiwang Ji 38 12 0 26 Jun 2022
Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions Zulqarnain Khan Davin Hill A. Masoomi Joshua Bone Jennifer Dy AAML 41 3 0 24 Jun 2022
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models Liu Zhendong Wenyu Jiang Yan Zhang Chongjun Wang CML 11 0 0 22 Jun 2022
Interpretable machine learning optimization (InterOpt) for operational parameters: a case study of highly-efficient shale gas development Yuntian Chen Dong-juan Zhang Qun Zhao D. Liu 16 6 0 20 Jun 2022
An Embedded Feature Selection Framework for Control Jiawen Wei Fangyuan Wang Wan-Ting Zeng Wen-Jiun Lin Ning Gui AI4CE 32 6 0 19 Jun 2022
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning Sihang Li Xiang Wang An Zhang Y. Wu Xiangnan He Tat-Seng Chua 27 94 0 16 Jun 2022
A Functional Information Perspective on Model Interpretation Itai Gat Nitay Calderon Roi Reichart Tamir Hazan AAML FAtt 41 6 0 12 Jun 2022
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images Tom Ron M. Weiler-Sagie Tamir Hazan FAtt MedIm 27 6 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
OmniXAI: A Library for Explainable AI Wenzhuo Yang Hung Le Tanmay Laud Silvio Savarese Guosheng Lin SyDa 35 39 0 01 Jun 2022
Backpropagation through Combinatorial Algorithms: Identity with Projection Works Subham S. Sahoo Anselm Paulus Marin Vlastelica Vít Musil Volodymyr Kuleshov Georg Martius 24 20 0 30 May 2022
Towards Explanation for Unsupervised Graph-Level Representation Learning Qinghua Zheng Jihong Wang Minnan Luo Yaoliang Yu Jundong Li L. Yao Xiao Chang 24 1 0 20 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs Jie Ren Mingjie Li Meng Zhou Shih-Han Chan Quanshi Zhang 13 3 0 04 May 2022
Reinforced Causal Explainer for Graph Neural Networks Xiang Wang Y. Wu An Zhang Fuli Feng Xiangnan He Tat-Seng Chua CML 25 47 0 23 Apr 2022
Learning to Scaffold: Optimizing Model Explanations for Teaching Patrick Fernandes Marcos Vinícius Treviso Danish Pruthi André F. T. Martins Graham Neubig FAtt 30 22 0 22 Apr 2022
Interpretable Research Replication Prediction via Variational Contextual Consistency Sentence Masking Tianyi Luo Rui Meng Junfeng Fang Yongxu Liu 27 4 0 28 Mar 2022
Causality Inspired Representation Learning for Domain Generalization Fangrui Lv Jian Liang Shuang Li Bin Zang Chi Harold Liu Ziteng Wang Di Liu CML OOD 40 163 0 27 Mar 2022
Are Shortest Rationales the Best Explanations for Human Understanding? Hua Shen Tongshuang Wu Wenbo Guo Ting-Hao 'Kenneth' Huang FAtt 17 11 0 16 Mar 2022
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection Thabang Mathonsi Terence L van Zyl 35 0 0 25 Feb 2022
SOInter: A Novel Deep Energy Based Interpretation Method for Explaining Structured Output Models S. F. Seyyedsalehi Mahdieh Soleymani Hamid R. Rabiee 18 0 0 20 Feb 2022
Hierarchical Interpretation of Neural Text Classification Hanqi Yan Lin Gui Yulan He 45 14 0 20 Feb 2022
GRAPHSHAP: Explaining Identity-Aware Graph Classifiers Through the Language of Motifs Alan Perotti P. Bajardi Francesco Bonchi Andre' Panisson FAtt 13 8 0 17 Feb 2022
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective Satyapriya Krishna Tessa Han Alex Gu Steven Wu S. Jabbari Himabindu Lakkaraju 186 186 0 03 Feb 2022
Framework for Evaluating Faithfulness of Local Explanations S. Dasgupta Nave Frost Michal Moshkovitz FAtt 119 61 0 01 Feb 2022
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism Siqi Miao Miaoyuan Liu Pan Li 18 197 0 31 Jan 2022
Explainability in Music Recommender Systems Darius Afchar Alessandro B. Melchiorre Markus Schedl Romain Hennequin Elena V. Epure Manuel Moussallam 34 48 0 25 Jan 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 28 398 0 20 Jan 2022
Making a (Counterfactual) Difference One Rationale at a Time Michael J. Plyler Michal Green Min Chi 23 11 0 13 Jan 2022
Toward Causal-Aware RL: State-Wise Action-Refined Temporal Difference Hao Sun Taiyi A. Wang CML 21 5 0 02 Jan 2022
Toward Explainable AI for Regression Models S. Letzgus Patrick Wagner Jonas Lederer Wojciech Samek Klaus-Robert Muller G. Montavon XAI 36 63 0 21 Dec 2021