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Axiomatic Attribution for Deep Networks

4 March 2017

Ankur Taly

Papers citing "Axiomatic Attribution for Deep Networks"

50 / 2,872 papers shown

Title
Diagnostics-Guided Explanation Generation Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein LRM FAtt 77 6 0 08 Sep 2021
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud Michaela Hardt Xiaoguang Chen Xiaoyi Cheng Michele Donini J. Gelman ... Muhammad Bilal Zafar Sanjiv Ranjan Das Kevin Haas Tyler Hill K. Kenthapadi ELM FaML 80 44 0 07 Sep 2021
Predicting Mood Disorder Symptoms with Remotely Collected Videos Using an Interpretable Multimodal Dynamic Attention Fusion Network Tathagat Banerjee Matthew Kollada Pablo Gersberg Oscar Rodriguez J. Tiller A. Jaffe J. Reynders 31 5 0 07 Sep 2021
Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica Shirley Anugrah Hayati Dongyeop Kang Lyle Ungar 85 33 0 06 Sep 2021
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models Arjun Reddy Akula Keze Wang Changsong Liu Sari Saba-Sadiya Hongjing Lu S. Todorovic J. Chai Song-Chun Zhu 106 49 0 03 Sep 2021
Interactively Providing Explanations for Transformer Language Models Felix Friedrich P. Schramowski Christopher Tauchmann Kristian Kersting LRM 106 6 0 02 Sep 2021
Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study Xuhong Li Haoyi Xiong Siyu Huang Shilei Ji Dejing Dou 63 10 0 02 Sep 2021
The Role of Explainability in Assuring Safety of Machine Learning in Healthcare Yan Jia John McDermid T. Lawton Ibrahim Habli 95 48 0 01 Sep 2021
Spatio-Temporal Perturbations for Video Attribution Zhenqiang Li Weimin Wang Zuoyue Li Yifei Huang Yoichi Sato 60 6 0 01 Sep 2021
A Generative Approach for Mitigating Structural Biases in Natural Language Inference Dimion Asael Zachary M. Ziegler Yonatan Belinkov 49 8 0 31 Aug 2021
Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools Nils Feldhus Robert Schwarzenberg Sebastian Möller 123 14 0 31 Aug 2021
Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience G. Chrysostomou Nikolaos Aletras 74 18 0 31 Aug 2021
Discretized Integrated Gradients for Explaining Language Models Soumya Sanyal Xiang Ren FAtt 68 54 0 31 Aug 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 173 536 0 31 Aug 2021
Dead Pixel Test Using Effective Receptive Field Bum Jun Kim Hyeyeon Choi Hyeonah Jang Dong Gu Lee Wonseok Jeong Sang Woo Kim 71 27 0 31 Aug 2021
DuTrust: A Sentiment Analysis Dataset for Trustworthiness Evaluation Lijie Wang Hao Liu Shu-ping Peng Hongxuan Tang Xinyan Xiao Ying-Cong Chen Hua Wu Haifeng Wang 60 5 0 30 Aug 2021
Neuron-level Interpretation of Deep NLP Models: A Survey Hassan Sajjad Nadir Durrani Fahim Dalvi MILM AI4CE 122 85 0 30 Aug 2021
Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring Yaman Kumar Singla Avykat Gupta Shaurya Bagga Changyou Chen Balaji Krishnamurthy R. Shah 88 12 0 30 Aug 2021
Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems Fei Mi Wanhao Zhou Feng Cai Lingjing Kong Minlie Huang Boi Faltings 92 32 0 28 Aug 2021
Feature Importance in a Deep Learning Climate Emulator Wei Xu Xihaier Luo Yihui Ren Ji Hwan Park Shinjae Yoo Balasubramanya T. Nadiga FAtt AI4TS 91 3 0 27 Aug 2021
Translation Error Detection as Rationale Extraction M. Fomicheva Lucia Specia Nikolaos Aletras 107 25 0 27 Aug 2021
Efficient Out-of-Distribution Detection Using Latent Space of $β$ -VAE for Cyber-Physical Systems Shreyas Ramakrishna Zahra Rahiminasab G. Karsai Arvind Easwaran Abhishek Dubey OODD 85 28 0 26 Aug 2021
A Comparison of Deep Saliency Map Generators on Multispectral Data in Object Detection Jens Bayer David Munch Michael Arens 3DPC 68 4 0 26 Aug 2021
Longitudinal Distance: Towards Accountable Instance Attribution Rosina O. Weber Prateek Goel S. Amiri G. Simpson 47 1 0 23 Aug 2021
Knowledge-based XAI through CBR: There is more to explanations than models can tell Rosina O. Weber Manil Shrestha Adam J. Johs 43 3 0 23 Aug 2021
Explaining Bayesian Neural Networks Kirill Bykov Marina M.-C. Höhne Adelaida Creosteanu Klaus-Robert Muller Frederick Klauschen Shinichi Nakajima Marius Kloft BDL AAML 72 25 0 23 Aug 2021
Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model Kwanseok Oh Jeeseok Yoon Heung-Il Suk FAtt 86 28 0 21 Aug 2021
Toward the Understanding of Deep Text Matching Models for Information Retrieval Lijuan Chen Yanyan Lan Liang Pang Jiafeng Guo Xueqi Cheng 35 4 0 16 Aug 2021
Detecting and interpreting faults in vulnerable power grids with machine learning Odin Foldvik Eikeland Inga Setså Holmstrand Sigurd Bakkejord M. Chiesa F. Bianchi 35 13 0 16 Aug 2021
Challenges for cognitive decoding using deep learning methods A. Thomas Christopher Ré R. Poldrack AI4CE 63 6 0 16 Aug 2021
Interpreting Attributions and Interactions of Adversarial Attacks Xin Eric Wang Shuyu Lin Hao Zhang Yufei Zhu Quanshi Zhang AAML FAtt 61 15 0 16 Aug 2021
Interpreting and improving deep-learning models with reality checks Chandan Singh Wooseok Ha Bin Yu FAtt 88 3 0 16 Aug 2021
Finding Representative Interpretations on Convolutional Neural Networks P. C. Lam Lingyang Chu Maxim Torgonskiy J. Pei Yong Zhang Lanjun Wang FAtt SSL HAI 70 6 0 13 Aug 2021
Learning Visual Affordance Grounding from Demonstration Videos Hongcheng Luo Wei Zhai Jing Zhang Yang Cao Dacheng Tao 56 24 0 12 Aug 2021
Towards Interpretable Deep Networks for Monocular Depth Estimation Zunzhi You Yi-Hsuan Tsai W. Chiu Guanbin Li FAtt 77 17 0 11 Aug 2021
Jujutsu: A Two-stage Defense against Adversarial Patch Attacks on Deep Neural Networks Zitao Chen Pritam Dash Karthik Pattabiraman AAML 85 18 0 11 Aug 2021
Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing Sanchit Sinha Hanjie Chen Arshdeep Sekhon Yangfeng Ji Yanjun Qi AAML FAtt 79 42 0 11 Aug 2021
Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical Vision Tasks A. Razumov Oleg Y. Rogov Dmitry V. Dylov 144 9 0 10 Aug 2021
Post-hoc Interpretability for Neural NLP: A Survey Andreas Madsen Siva Reddy A. Chandar XAI 127 234 0 10 Aug 2021
Improved Feature Importance Computations for Tree Models: Shapley vs. Banzhaf Adam Karczmarz A. Mukherjee Piotr Sankowski Piotr Wygocki FAtt TDI 107 6 0 09 Aug 2021
Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery Youcef Remil Anes Bendimerad Marc Plantevit C. Robardet Mehdi Kaytoue-Uberall 47 5 0 06 Aug 2021
Generalizable Mixed-Precision Quantization via Attribution Rank Preservation Ziwei Wang Han Xiao Jiwen Lu Jie Zhou MQ 74 32 0 05 Aug 2021
Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning Richard J. Chen Ming Y. Lu Drew F. K. Williamson Tiffany Y. Chen Jana Lipkova ... Maha Shady Mane Williams Bumjin Joo Zahra Noor Faisal Mahmood 46 13 0 04 Aug 2021
Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability Roman Levin Manli Shu Eitan Borgnia Furong Huang Micah Goldblum Tom Goldstein FAtt AAML 55 11 0 03 Aug 2021
Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution Liangbin Xie Xintao Wang Chao Dong Zhongang Qi Ying Shan 63 39 0 02 Aug 2021
Realised Volatility Forecasting: Machine Learning via Financial Word Embedding Eghbal Rahimikia S. Zohren S. Poon AIFin 76 11 0 01 Aug 2021
Object-aware Contrastive Learning for Debiased Scene Representation Sangwoo Mo H. Kang Kihyuk Sohn Chun-Liang Li Jinwoo Shin SSL OCL 170 50 0 30 Jul 2021
Temporal Dependencies in Feature Importance for Time Series Predictions Kin Kwan Leung Clayton Rooke Jonathan Smith S. Zuberi M. Volkovs OOD AI4TS 77 25 0 29 Jul 2021
The Portiloop: a deep learning-based open science tool for closed-loop brain stimulation Nicolas Valenchon Yann Bouteiller Hugo R. Jourde Xavier L'Heureux Milo Sobral Emily B. J. Coffey Giovanni Beltrame 40 13 0 28 Jul 2021
Surrogate Model-Based Explainability Methods for Point Cloud NNs Hanxiao Tan Helena Kotthaus 3DPC 63 29 0 28 Jul 2021