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Axiomatic Attribution for Deep Networks

4 March 2017

Ankur Taly

Papers citing "Axiomatic Attribution for Deep Networks"

50 / 2,871 papers shown

Title
Towards Benchmarking the Utility of Explanations for Model Debugging Maximilian Idahl Lijun Lyu U. Gadiraju Avishek Anand XAI 62 18 0 10 May 2021
Do Concept Bottleneck Models Learn as Intended? Andrei Margeloiu Matthew Ashman Umang Bhatt Yanzhi Chen M. Jamnik Adrian Weller SLR 65 97 0 10 May 2021
Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification G. Chrysostomou Nikolaos Aletras 85 38 0 06 May 2021
Partially Interpretable Estimators (PIE): Black-Box-Refined Interpretable Machine Learning Tong Wang Jingyi Yang Yunyi Li Boxiang Wang FAtt 76 5 0 06 May 2021
Rethinking Search: Making Domain Experts out of Dilettantes Donald Metzler Yi Tay Dara Bahri Marc Najork LRM 103 47 0 05 May 2021
Where and When: Space-Time Attention for Audio-Visual Explanations Yanbei Chen Thomas Hummel A. Sophia Koepke Zeynep Akata 52 3 0 04 May 2021
Explaining a Series of Models by Propagating Shapley Values Hugh Chen Scott M. Lundberg Su-In Lee TDI FAtt 110 139 0 30 Apr 2021
Explanation-Based Human Debugging of NLP Models: A Survey Piyawat Lertvittayakumjorn Francesca Toni LRM 147 79 0 30 Apr 2021
Interpretable Semantic Photo Geolocation Jonas Theiner Eric Müller-Budack Ralph Ewerth 48 30 0 30 Apr 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 130 58 0 29 Apr 2021
Instance-wise Causal Feature Selection for Model Interpretation Pranoy Panda Sai Srinivas Kancheti V. Balasubramanian CML 115 16 0 26 Apr 2021
Exploiting Explanations for Model Inversion Attacks Xu Zhao Wencan Zhang Xiao Xiao Brian Y. Lim MIACV 101 85 0 26 Apr 2021
Towards Rigorous Interpretations: a Formalisation of Feature Attribution Darius Afchar Romain Hennequin Vincent Guigue FAtt 103 20 0 26 Apr 2021
Attention vs non-attention for a Shapley-based explanation method T. Kersten Hugh Mee Wong Jaap Jumelet Dieuwke Hupkes 81 4 0 26 Apr 2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case Natalia Díaz Rodríguez Alberto Lamas Jules Sanchez Gianni Franchi Ivan Donadello Siham Tabik David Filliat P. Cruz Rosana Montes Francisco Herrera 136 78 0 24 Apr 2021
Neural Mean Discrepancy for Efficient Out-of-Distribution Detection Xin Dong Junfeng Guo Ang Li W. Ting Cong Liu H. T. Kung OODD 131 59 0 23 Apr 2021
Revisiting The Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis Samuele Poppi Marcella Cornia Lorenzo Baraldi Rita Cucchiara FAtt 199 34 0 20 Apr 2021
Measuring the Ripeness of Fruit with Hyperspectral Imaging and Deep Learning Leon Amadeus Varga J. Makowski A. Zell 31 23 0 20 Apr 2021
Interpretability in deep learning for finance: a case study for the Heston model D. Brigo Xiaoshan Huang A. Pallavicini Haitz Sáez de Ocáriz Borde FAtt 37 9 0 19 Apr 2021
Improving Attribution Methods by Learning Submodular Functions Piyushi Manupriya Tarun Ram Menta S. Jagarlapudi V. Balasubramanian TDI 91 6 0 19 Apr 2021
DA-DGCEx: Ensuring Validity of Deep Guided Counterfactual Explanations With Distribution-Aware Autoencoder Loss Jokin Labaien E. Zugasti Xabier De Carlos CML 59 4 0 19 Apr 2021
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning Aaron Chan Lyne Tchapmi Bo Long Soumya Sanyal Tanishq Gupta Xiang Ren ReLM LRM 110 11 0 18 Apr 2021
Human-Imitating Metrics for Training and Evaluating Privacy Preserving Emotion Recognition Models Using Sociolinguistic Knowledge Mimansa Jaiswal E. Provost 53 0 0 18 Apr 2021
On the Sensitivity and Stability of Model Interpretations in NLP Fan Yin Zhouxing Shi Cho-Jui Hsieh Kai-Wei Chang FAtt 85 33 0 18 Apr 2021
Knowledge Neurons in Pretrained Transformers Damai Dai Li Dong Y. Hao Zhifang Sui Baobao Chang Furu Wei KELM MU 177 466 0 18 Apr 2021
Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models Zhengxuan Wu Nelson F. Liu Christopher Potts 43 3 0 17 Apr 2021
Flexible Instance-Specific Rationalization of NLP Models G. Chrysostomou Nikolaos Aletras 82 14 0 16 Apr 2021
A Novel Approach to Curiosity and Explainable Reinforcement Learning via Interpretable Sub-Goals C. V. Rossum Candice Feinberg Adam Abu Shumays Kyle Baxter Benedek Bartha GAN LLMAG LRM 39 1 0 14 Apr 2021
Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution Huiqi Deng Na Zou Weifu Chen Guo-Can Feng Mengnan Du Helen Zhou FAtt 71 6 0 14 Apr 2021
Fast Hierarchical Games for Image Explanations Jacopo Teneggi Alexandre Luster Jeremias Sulam FAtt 56 21 0 13 Apr 2021
LioNets: A Neural-Specific Local Interpretation Technique Exploiting Penultimate Layer Information Ioannis Mollas Nick Bassiliades Grigorios Tsoumakas 61 8 0 13 Apr 2021
IMAGINE: Image Synthesis by Image-Guided Model Inversion Pei Wang Yijun Li Krishna Kumar Singh Jingwan Lu Nuno Vasconcelos DiffM 52 29 0 13 Apr 2021
Evaluating Saliency Methods for Neural Language Models Shuoyang Ding Philipp Koehn FAtt XAI 63 55 0 12 Apr 2021
A-FMI: Learning Attributions from Deep Networks via Feature Map Importance An Zhang Xiang Wang Chengfang Fang Jie Shi Tat-Seng Chua Zehua Chen FAtt 37 3 0 12 Apr 2021
A Conceptual Framework for Establishing Trust in Real World Intelligent Systems Michael Guckert Nils Gumpfer J. Hannig Till Keller N. Urquhart 30 3 0 12 Apr 2021
Connecting Attributions and QA Model Behavior on Realistic Counterfactuals Xi Ye Rohan Nair Greg Durrett 61 24 0 09 Apr 2021
Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks Hanjie Chen Song Feng Jatin Ganhotra H. Wan Chulaka Gunasekara Sachindra Joshi Yangfeng Ji 73 18 0 09 Apr 2021
Individual Explanations in Machine Learning Models: A Survey for Practitioners Alfredo Carrillo Luis F. Cantú Alejandro Noriega FaML 31 15 0 09 Apr 2021
An Empirical Comparison of Instance Attribution Methods for NLP Pouya Pezeshkpour Sarthak Jain Byron C. Wallace Sameer Singh TDI 122 35 0 09 Apr 2021
Explainability-based Backdoor Attacks Against Graph Neural Networks Jing Xu Minhui Xue Xue S. Picek 85 79 0 08 Apr 2021
Dynabench: Rethinking Benchmarking in NLP Douwe Kiela Max Bartolo Yixin Nie Divyansh Kaushik Atticus Geiger ... Pontus Stenetorp Robin Jia Joey Tianyi Zhou Christopher Potts Adina Williams 218 411 0 07 Apr 2021
Interpreting A Pre-trained Model Is A Key For Model Architecture Optimization: A Case Study On Wav2Vec 2.0 Liu Chen Meysam Asgari 29 1 0 07 Apr 2021
White Box Methods for Explanations of Convolutional Neural Networks in Image Classification Tasks Meghna P. Ayyar J. Benois-Pineau A. Zemmari FAtt 43 17 0 06 Apr 2021
Shapley Explanation Networks Rui Wang Xiaoqian Wang David I. Inouye TDI FAtt 91 46 0 06 Apr 2021
Explainability-aided Domain Generalization for Image Classification Robin M. Schmidt FAtt OOD 61 1 0 05 Apr 2021
Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models Ashkan Khakzar Sabrina Musatian Jonas Buchberger Icxel Valeriano Quiroz Nikolaus Pinger Soroosh Baselizadeh Seong Tae Kim Nassir Navab 83 13 0 04 Apr 2021
Exploring the Role of BERT Token Representations to Explain Sentence Probing Results Hosein Mohebbi Ali Modarressi Mohammad Taher Pilehvar MILM 67 26 0 03 Apr 2021
Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing Ioannis Kakogeorgiou Konstantinos Karantzalos XAI 60 120 0 03 Apr 2021
SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis Pranav Maneriker Yuntian He Srinivas Parthasarathy 65 10 0 01 Apr 2021
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features Ashkan Khakzar Yang Zhang W. Mansour Yuezhi Cai Yawei Li Yucheng Zhang Seong Tae Kim Nassir Navab FAtt 100 17 0 01 Apr 2021