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Axiomatic Attribution for Deep Networks

4 March 2017

Ankur Taly

Papers citing "Axiomatic Attribution for Deep Networks"

50 / 2,873 papers shown

Title
ConceptDistil: Model-Agnostic Distillation of Concept Explanations Joao Bento Sousa Ricardo Moreira Vladimir Balayan Pedro Saleiro P. Bizarro FAtt 27 3 0 07 May 2022
The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning Xi Ye Greg Durrett ReLM LRM 127 186 0 06 May 2022
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection Esma Balkir I. Nejadgholi Kathleen C. Fraser S. Kiritchenko FAtt 69 27 0 06 May 2022
Development of Interpretable Machine Learning Models to Detect Arrhythmia based on ECG Data Shourya Verma FAtt 67 3 0 05 May 2022
Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI Sami Ede Serop Baghdadlian Leander Weber A. Nguyen Dario Zanca Wojciech Samek Sebastian Lapuschkin CLL 66 8 0 04 May 2022
SparCAssist: A Model Risk Assessment Assistant Based on Sparse Generated Counterfactuals Zijian Zhang Vinay Setty Avishek Anand 61 7 0 03 May 2022
Learn To Remember: Transformer with Recurrent Memory for Document-Level Machine Translation Yukun Feng Feng Li Ziang Song Boyuan Zheng Philipp Koehn 41 19 0 03 May 2022
Finding patterns in Knowledge Attribution for Transformers Jeevesh Juneja Ritu Agarwal KELM 66 1 0 03 May 2022
Poly-CAM: High resolution class activation map for convolutional neural networks A. Englebert O. Cornu Christophe De Vleeschouwer 109 13 0 28 Apr 2022
Detecting Backdoor Poisoning Attacks on Deep Neural Networks by Heatmap Clustering Lukas Schulth Christian Berghoff Matthias Neu AAML 65 5 0 27 Apr 2022
Why does Self-Supervised Learning for Speech Recognition Benefit Speaker Recognition? Sanyuan Chen Yu Wu Chengyi Wang Shujie Liu Zhuo Chen ... Gang Liu Jinyu Li Jian Wu Xiangzhan Yu Furu Wei SSL 102 42 0 27 Apr 2022
On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations Roy Schwartz Gabriel Stanovsky 107 26 0 27 Apr 2022
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset Leon Sixt M. Schuessler Oana-Iuliana Popescu Philipp Weiß Tim Landgraf FAtt 69 15 0 25 Apr 2022
Data Debugging with Shapley Importance over End-to-End Machine Learning Pipelines Bojan Karlavs David Dao Matteo Interlandi Yue Liu Sebastian Schelter Wentao Wu Ce Zhang TDI 67 27 0 23 Apr 2022
Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps Oren Barkan Edan Hauon Avi Caciularu Ori Katz Itzik Malkiel Omri Armstrong Noam Koenigstein 90 40 0 23 Apr 2022
Reinforced Causal Explainer for Graph Neural Networks Xiang Wang Y. Wu An Zhang Fuli Feng Xiangnan He Tat-Seng Chua CML 128 47 0 23 Apr 2022
Locally Aggregated Feature Attribution on Natural Language Model Understanding Shenmin Zhang Jin Wang Haitao Jiang Rui Song FAtt 77 4 0 22 Apr 2022
Learning to Scaffold: Optimizing Model Explanations for Teaching Patrick Fernandes Marcos Vinícius Treviso Danish Pruthi André F. T. Martins Graham Neubig FAtt 98 22 0 22 Apr 2022
Backdooring Explainable Machine Learning Maximilian Noppel Lukas Peter Christian Wressnegger AAML 79 5 0 20 Apr 2022
Behind the Machine's Gaze: Neural Networks with Biologically-inspired Constraints Exhibit Human-like Visual Attention Leo Schwinn Doina Precup Bjoern M. Eskofier Dario Zanca 45 7 0 19 Apr 2022
Missingness Bias in Model Debugging Saachi Jain Hadi Salman E. Wong Pengchuan Zhang Vibhav Vineet Sai H. Vemprala Aleksander Madry 100 37 0 19 Apr 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang 109 144 0 18 Apr 2022
Pathologies of Pre-trained Language Models in Few-shot Fine-tuning Hanjie Chen Guoqing Zheng Ahmed Hassan Awadallah Yangfeng Ji AI4MH 91 3 0 17 Apr 2022
Explainable Analysis of Deep Learning Methods for SAR Image Classification Sheng Su Ziteng Cui Weiwei Guo Zenghui Zhang Wenxian Yu XAI 65 13 0 14 Apr 2022
OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data David Schinagl Georg Krispel Horst Possegger P. Roth Horst Bischof 3DPC 62 19 0 13 Apr 2022
A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets Pervaiz Iqbal Khan Imran Razzak Andreas Dengel Sheraz Ahmed MedIm 50 5 0 13 Apr 2022
Can Question Rewriting Help Conversational Question Answering? Etsuko Ishii Yan Xu Samuel Cahyawijaya Bryan Wilie 103 9 0 13 Apr 2022
Baseline Computation for Attribution Methods Based on Interpolated Inputs Miguel A. Lerma Mirtha Lucas 30 0 0 13 Apr 2022
Maximum Entropy Baseline for Integrated Gradients Hanxiao Tan FAtt 30 5 0 12 Apr 2022
A Comparative Study of Faithfulness Metrics for Model Interpretability Methods Chun Sik Chan Huanqi Kong Guanqing Liang 96 55 0 12 Apr 2022
A Multilingual Perspective Towards the Evaluation of Attribution Methods in Natural Language Inference Kerem Zaman Yonatan Belinkov 101 8 0 11 Apr 2022
ProtoTEx: Explaining Model Decisions with Prototype Tensors Anubrata Das Chitrank Gupta Venelin Kovatchev Matthew Lease Junjie Li 93 29 0 11 Apr 2022
medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space Amil Dravid Florian Schiffers Boqing Gong Aggelos K. Katsaggelos GAN MedIm 86 10 0 11 Apr 2022
Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI Evaluation Hillary Ngai Frank Rudzicz FAtt LM&MA 43 6 0 11 Apr 2022
Physically Disentangled Representations Tzofi Klinghoffer Kushagra Tiwary Arkadiusz Balata Vivek Sharma Ramesh Raskar 3DV OCL CoGe DRL 63 1 0 11 Apr 2022
Re-Examining Human Annotations for Interpretable NLP Cheng-Han Chiang Hung-yi Lee FAtt XAI 87 6 0 10 Apr 2022
Reliable Visualization for Deep Speaker Recognition Pengqi Li Lantian Li A. Hamdulla Dong Wang HAI 87 9 0 08 Apr 2022
Multi-objective optimization determines when, which and how to fuse deep networks: an application to predict COVID-19 outcomes V. Guarrasi Paolo Soda 48 24 0 07 Apr 2022
Automated Sleep Staging via Parallel Frequency-Cut Attention Zheng Chen Ziwei Yang Lingwei Zhu Wei Chen T. Tamura N. Ono M. Altaf-Ul-Amin Shigehiko Kanaya Ming Huang 75 17 0 07 Apr 2022
Marrying Fairness and Explainability in Supervised Learning Przemyslaw A. Grabowicz Nicholas Perello Aarshee Mishra FaML 98 45 0 06 Apr 2022
Predicting and Explaining Mobile UI Tappability with Vision Modeling and Saliency Analysis E. Schoop Xin Zhou Gang Li Zhourong Chen Björn Hartmann Yang Li HAI FAtt 87 34 0 05 Apr 2022
On Explaining Multimodal Hateful Meme Detection Models Ming Shan Hee Roy Ka-wei Lee Wen-Haw Chong VLM 125 41 0 04 Apr 2022
Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models Ashkan Khakzar Yawei Li Yang Zhang Mirac Sanisoglu Seong Tae Kim Mina Rezaei Bernd Bischl Nassir Navab 62 0 0 04 Apr 2022
Explainable Online Lane Change Predictions on a Digital Twin with a Layer Normalized LSTM and Layer-wise Relevance Propagation C. Wehner Francis Powlesland Bashar Altakrouri Ute Schmid FAtt 40 8 0 04 Apr 2022
Explainable and Interpretable Diabetic Retinopathy Classification Based on Neural-Symbolic Learning Se-In Jang M. Girard Alexandre Hoang Thiery 48 4 0 01 Apr 2022
Interpretation of Black Box NLP Models: A Survey Shivani Choudhary N. Chatterjee S. K. Saha FAtt 86 11 0 31 Mar 2022
Improving Adversarial Transferability via Neuron Attribution-Based Attacks Jianping Zhang Weibin Wu Jen-tse Huang Yizhan Huang Wenxuan Wang Yuxin Su Michael R. Lyu AAML 103 136 0 31 Mar 2022
Conditional Autoregressors are Interpretable Classifiers N. Elazar BDL 24 0 0 31 Mar 2022
Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning Yuansheng Xie Soroush Vosoughi Saeed Hassanpour 90 3 0 30 Mar 2022
Recognition of polar lows in Sentinel-1 SAR images with deep learning J. Grahn F. Bianchi 53 3 0 30 Mar 2022