Hierarchical interpretations for neural network predictions

14 June 2018

Papers citing "Hierarchical interpretations for neural network predictions"

23 / 23 papers shown

Title
DEGREE: Decomposition Based Explanation For Graph Neural Networks Qizhang Feng Ninghao Liu Fan Yang Ruixiang Tang Mengnan Du Xia Hu 23 22 0 22 May 2023
Explaining black box text modules in natural language with language models Chandan Singh Aliyah R. Hsu Richard Antonello Shailee Jain Alexander G. Huth Bin-Xia Yu Jianfeng Gao MILM 21 46 0 17 May 2023
Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces Pattarawat Chormai J. Herrmann Klaus-Robert Muller G. Montavon FAtt 43 17 0 30 Dec 2022
Generating Hierarchical Explanations on Text Classification Without Connecting Rules Yiming Ju Yuanzhe Zhang Kang Liu Jun Zhao FAtt 18 3 0 24 Oct 2022
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 17 44 0 20 Oct 2021
Let the CAT out of the bag: Contrastive Attributed explanations for Text Saneem A. Chemmengath A. Azad Ronny Luss Amit Dhurandhar FAtt 26 10 0 16 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 21 2 0 10 Sep 2021
Discretized Integrated Gradients for Explaining Language Models Soumya Sanyal Xiang Ren FAtt 9 53 0 31 Aug 2021
Improving the trustworthiness of image classification models by utilizing bounding-box annotations K. Dharma Chicheng Zhang 24 5 0 15 Aug 2021
Shapley Explanation Networks Rui Wang Xiaoqian Wang David I. Inouye TDI FAtt 19 44 0 06 Apr 2021
A Unified Game-Theoretic Interpretation of Adversarial Robustness Jie Ren Die Zhang Yisen Wang Lu Chen Zhanpeng Zhou ... Xu Cheng Xin Eric Wang Meng Zhou Jie Shi Quanshi Zhang AAML 64 22 0 12 Mar 2021
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification Linyi Yang Eoin M. Kenny T. L. J. Ng Yi Yang Barry Smyth Ruihai Dong 13 70 0 23 Oct 2020
A Unified Approach to Interpreting and Boosting Adversarial Transferability Xin Eric Wang Jie Ren Shuyu Lin Xiangming Zhu Yisen Wang Quanshi Zhang AAML 21 94 0 08 Oct 2020
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking M. Schlichtkrull Nicola De Cao Ivan Titov AI4CE 31 214 0 01 Oct 2020
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection Hanjie Chen Guangtao Zheng Yangfeng Ji FAtt 22 91 0 04 Apr 2020
Explaining Explanations: Axiomatic Feature Interactions for Deep Networks Joseph D. Janizek Pascal Sturmfels Su-In Lee FAtt 24 143 0 10 Feb 2020
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 30 300 0 08 Jan 2020
Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender Assignment Jaap Jumelet Willem H. Zuidema Dieuwke Hupkes LRM 25 37 0 19 Sep 2019
A Selective Overview of Deep Learning Jianqing Fan Cong Ma Yiqiao Zhong BDL VLM 25 136 0 10 Apr 2019
Interpretable machine learning: definitions, methods, and applications W. James Murdoch Chandan Singh Karl Kumbier R. Abbasi-Asl Bin-Xia Yu XAI HAI 21 1,416 0 14 Jan 2019
Can I trust you more? Model-Agnostic Hierarchical Explanations Michael Tsang Youbang Sun Dongxu Ren Yan Liu FAtt 11 25 0 12 Dec 2018
Interpreting Layered Neural Networks via Hierarchical Modular Representation C. Watanabe 8 19 0 03 Oct 2018
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 280 10,613 0 19 Feb 2017