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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
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices Xiaolong Ma Fu-Ming Guo Wei Niu Xue Lin Jian Tang Kaisheng Ma Bin Ren Yanzhi Wang CVBM 95 180 0 06 Sep 2019
Effective Use of Transformer Networks for Entity Tracking Aditya Gupta Greg Durrett 59 20 0 05 Sep 2019
Generalized Integrated Gradients: A practical method for explaining diverse ensembles John Merrill Geoff Ward S. Kamkar Jay Budzik Douglas C. Merrill 54 15 0 04 Sep 2019
Towards Interpretable Polyphonic Transcription with Invertible Neural Networks Rainer Kelz Gerhard Widmer 44 15 0 04 Sep 2019
Understanding Bias in Machine Learning Jindong Gu Daniela Oelke AI4CE FaML 41 22 0 02 Sep 2019
Towards Understanding Neural Machine Translation with Word Importance Shilin He Zhaopeng Tu Xing Wang Longyue Wang Michael R. Lyu Shuming Shi AAML 129 40 0 01 Sep 2019
The many Shapley values for model explanation Mukund Sundararajan A. Najmi TDI FAtt 70 646 0 22 Aug 2019
Saliency Methods for Explaining Adversarial Attacks Jindong Gu Volker Tresp FAtt AAML 71 30 0 22 Aug 2019
TabNet: Attentive Interpretable Tabular Learning Sercan O. Arik Tomas Pfister LMTD 230 1,386 0 20 Aug 2019
Computing Linear Restrictions of Neural Networks Matthew Sotoudeh Aditya V. Thakur 41 24 0 17 Aug 2019
Gradient Weighted Superpixels for Interpretability in CNNs Thomas Hartley K. Sidorov C. Willis David Marshall FAtt 22 3 0 16 Aug 2019
Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks Jörg Wagner Jan M. Köhler Tobias Gindele Leon Hetzel Thaddäus Wiedemer Sven Behnke AAML FAtt 155 122 0 07 Aug 2019
Regression Constraint for an Explainable Cervical Cancer Classifier Antoine Pirovano Leandro Giordano Almeida Saïd Ladjal 25 2 0 07 Aug 2019
Free-Lunch Saliency via Attention in Atari Agents Dmitry Nikulin A. Ianina Vladimir Aliev Sergey I. Nikolenko FAtt 73 24 0 07 Aug 2019
Explaining Image Classifiers using Statistical Fault Localization Youcheng Sun Hana Chockler Xiaowei Huang Daniel Kroening FAtt AAML 20 7 0 06 Aug 2019
Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Brian Kenji Iwana Ryohei Kuroki S. Uchida FAtt 72 98 0 06 Aug 2019
Semi-supervised Thai Sentence Segmentation Using Local and Distant Word Representations Chanatip Saetia Ekapol Chuangsuwanich Tawunrat Chalothorn P. Vateekul 74 5 0 04 Aug 2019
Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models Daniel Omeiza Skyler Speakman C. Cintas Komminist Weldemariam FAtt 72 219 0 03 Aug 2019
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems Wenbo Guo Lun Wang Masashi Sugiyama Min Du Basel Alomair 94 230 0 02 Aug 2019
Grid Saliency for Context Explanations of Semantic Segmentation Lukas Hoyer Mauricio Muñoz P. Katiyar Anna Khoreva Volker Fischer FAtt 153 50 0 30 Jul 2019
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning Thilo Spinner U. Schlegel H. Schäfer Mennatallah El-Assady HAI 77 239 0 29 Jul 2019
How to Manipulate CNNs to Make Them Lie: the GradCAM Case T. Viering Ziqi Wang Marco Loog E. Eisemann AAML FAtt 60 28 0 25 Jul 2019
Interpretability Beyond Classification Output: Semantic Bottleneck Networks M. Losch Mario Fritz Bernt Schiele UQCV 76 63 0 25 Jul 2019
Invertible Network for Classification and Biomarker Selection for ASD Juntang Zhuang Nicha Dvornek Xiaoxiao Li P. Ventola James S. Duncan 58 21 0 23 Jul 2019
Benchmarking Attribution Methods with Relative Feature Importance Mengjiao Yang Been Kim FAtt XAI 75 142 0 23 Jul 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI Erico Tjoa Cuntai Guan XAI 170 1,467 0 17 Jul 2019
Technical Report: Partial Dependence through Stratification T. Parr James D. Wilson 29 3 0 15 Jul 2019
Explaining an increase in predicted risk for clinical alerts Michaela Hardt A. Rajkomar Gerardo Flores Andrew M. Dai M. Howell Greg S. Corrado Claire Cui Moritz Hardt FAtt 67 12 0 10 Jul 2019
The What-If Tool: Interactive Probing of Machine Learning Models James Wexler Mahima Pushkarna Tolga Bolukbasi Martin Wattenberg F. Viégas Jimbo Wilson VLM 97 500 0 09 Jul 2019
Neutaint: Efficient Dynamic Taint Analysis with Neural Networks Dongdong She Yizheng Chen Abhishek Shah Baishakhi Ray Suman Jana 67 46 0 08 Jul 2019
ELF: Embedded Localisation of Features in pre-trained CNN Assia Benbihi Matthieu Geist C´edric Pradalier 68 30 0 07 Jul 2019
Towards Robust, Locally Linear Deep Networks Guang-He Lee David Alvarez-Melis Tommi Jaakkola ODL 135 48 0 07 Jul 2019
Visualizing Uncertainty and Saliency Maps of Deep Convolutional Neural Networks for Medical Imaging Applications J. D. Seo MedIm FAtt 49 4 0 05 Jul 2019
A Case Study of Deep-Learned Activations via Hand-Crafted Audio Features Olga Slizovskaia E. Gómez G. Haro 24 1 0 03 Jul 2019
On the Privacy Risks of Model Explanations Reza Shokri Martin Strobel Yair Zick MIACV PILM SILM FAtt 129 38 0 29 Jun 2019
Learning to Identify Patients at Risk of Uncontrolled Hypertension Using Electronic Health Records Data R. Mohammadi Sarthak Jain S. Agboola R. Palacholla S. Kamarthi Byron C. Wallace OOD 44 12 0 28 Jun 2019
Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference Klas Leino Matt Fredrikson MIACV 105 275 0 27 Jun 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 95 82 0 25 Jun 2019
Interpretable Image Recognition with Hierarchical Prototypes Peter Hase Chaofan Chen Oscar Li Cynthia Rudin VLM 92 114 0 25 Jun 2019
Quantitative Verification of Neural Networks And its Security Applications Teodora Baluta Shiqi Shen Shweta Shinde Kuldeep S. Meel P. Saxena AAML 89 105 0 25 Jun 2019
Saliency-driven Word Alignment Interpretation for Neural Machine Translation Shuoyang Ding Hainan Xu Philipp Koehn 107 55 0 25 Jun 2019
DLIME: A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosis Systems Muhammad Rehman Zafar N. Khan FAtt 124 159 0 24 Jun 2019
Incorporating Priors with Feature Attribution on Text Classification Frederick Liu Besim Avci FAtt FaML 108 120 0 19 Jun 2019
Explanations can be manipulated and geometry is to blame Ann-Kathrin Dombrowski Maximilian Alber Christopher J. Anders M. Ackermann K. Müller Pan Kessel AAML FAtt 92 336 0 19 Jun 2019
From Clustering to Cluster Explanations via Neural Networks Jacob R. Kauffmann Malte Esders Lukas Ruff G. Montavon Wojciech Samek K. Müller 79 72 0 18 Jun 2019
Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution Zicun Cong Lingyang Chu Lanjun Wang X. Hu J. Pei 420 5 0 17 Jun 2019
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias Emily L. Denton B. Hutchinson Margaret Mitchell Timnit Gebru Andrew Zaldivar CVBM 93 129 0 14 Jun 2019
What Does BERT Look At? An Analysis of BERT's Attention Kevin Clark Urvashi Khandelwal Omer Levy Christopher D. Manning MILM 298 1,609 0 11 Jun 2019
Quantification and Analysis of Layer-wise and Pixel-wise Information Discarding Haotian Ma Hao Zhang Fan Zhou Yinqing Zhang Quanshi Zhang FAtt 27 0 0 10 Jun 2019
ML-LOO: Detecting Adversarial Examples with Feature Attribution Puyudi Yang Jianbo Chen Cho-Jui Hsieh Jane-ling Wang Michael I. Jordan AAML 93 101 0 08 Jun 2019