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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
EVAC+: Multi-scale V-net with Deep Feature CRF Layers for Brain Extraction Jong Sung Park S. Fadnavis Eleftherios Garyfallidis 92 0 0 06 Jun 2022
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images Tom Ron M. Weiler-Sagie Tamir Hazan FAtt MedIm 83 6 0 06 Jun 2022
Estimating building energy efficiency from street view imagery, aerial imagery, and land surface temperature data Kevin Mayer Lukas Haas Tianyuan Huang Juan Bernabé-Moreno Ram Rajagopal Martin Fischer 67 23 0 05 Jun 2022
Interpretable Mixture of Experts Aya Abdelsalam Ismail Sercan O. Arik Chang Jo Kim Ankur Taly Soheil Feizi Tomas Pfister MoE 50 11 0 05 Jun 2022
Actuarial Applications of Natural Language Processing Using Transformers: Case Studies for Using Text Features in an Actuarial Context Andrea Troxler Jürg Schelldorfer 44 10 0 04 Jun 2022
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations Tessa Han Suraj Srinivas Himabindu Lakkaraju FAtt 137 89 0 02 Jun 2022
Why Did This Model Forecast This Future? Closed-Form Temporal Saliency Towards Causal Explanations of Probabilistic Forecasts Chirag Raman Hayley Hung Marco Loog 89 3 0 01 Jun 2022
OmniXAI: A Library for Explainable AI Wenzhuo Yang Hung Le Tanmay Laud Silvio Savarese Guosheng Lin SyDa 83 41 0 01 Jun 2022
Order-sensitive Shapley Values for Evaluating Conceptual Soundness of NLP Models Kaiji Lu Anupam Datta 60 0 0 01 Jun 2022
Attribution-based Explanations that Provide Recourse Cannot be Robust H. Fokkema R. D. Heide T. Erven FAtt 132 20 0 31 May 2022
Exact Feature Collisions in Neural Networks Utku Ozbulak Manvel Gasparyan Shodhan Rao W. D. Neve Arnout Van Messem AAML 61 1 0 31 May 2022
Variable importance without impossible data Masayoshi Mase Art B. Owen Benjamin B. Seiler 73 7 0 31 May 2022
Comparing interpretation methods in mental state decoding analyses with deep learning models A. Thomas Christopher Ré R. Poldrack AI4CE 76 2 0 31 May 2022
Attention Flows for General Transformers Niklas Metzger Christopher Hahn Julian Siber Frederik Schmitt Bernd Finkbeiner 69 0 0 30 May 2022
Radial Spike and Slab Bayesian Neural Networks for Sparse Data in Ransomware Attacks Jurijs Nazarovs Jack W. Stokes Melissa J. M. Turcotte Justin Carroll Itai Grady AAML 50 3 0 29 May 2022
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior Eldar David Abraham Karel DÓosterlinck Amir Feder Y. Gat Atticus Geiger Christopher Potts Roi Reichart Zhengxuan Wu CML 131 47 0 27 May 2022
A Sea of Words: An In-Depth Analysis of Anchors for Text Data Gianluigi Lopardo F. Precioso Damien Garreau 64 6 0 27 May 2022
Transferable Adversarial Attack based on Integrated Gradients Yunpeng Huang A. Kong AAML 85 54 0 26 May 2022
How explainable are adversarially-robust CNNs? Mehdi Nourelahi Lars Kotthoff Peijie Chen Anh Totti Nguyen AAML FAtt 83 8 0 25 May 2022
ER-Test: Evaluating Explanation Regularization Methods for Language Models Brihi Joshi Aaron Chan Ziyi Liu Shaoliang Nie Maziar Sanjabi Hamed Firooz Xiang Ren AAML 93 6 0 25 May 2022
Region-aware Knowledge Distillation for Efficient Image-to-Image Translation Linfeng Zhang Xin Chen Runpei Dong Kaisheng Ma VLM 85 12 0 25 May 2022
Deletion and Insertion Tests in Regression Models Naofumi Hama Masayoshi Mase Art B. Owen 101 8 0 25 May 2022
Interpretation Quality Score for Measuring the Quality of interpretability methods Sean Xie Soroush Vosoughi Saeed Hassanpour XAI 113 5 0 24 May 2022
Faithful Explanations for Deep Graph Models Zifan Wang Yuhang Yao Chaoran Zhang Han Zhang Youjie Kang Carlee Joe-Wong Matt Fredrikson Anupam Datta FAtt 153 2 0 24 May 2022
Attributing AUC-ROC to Analyze Binary Classifier Performance Arya Tafvizi Besim Avci Mukund Sundararajan 43 9 0 24 May 2022
Deep Representations for Time-varying Brain Datasets Sikun Lin Shuyun Tang Scott T. Grafton Ambuj K. Singh AI4CE 66 6 0 23 May 2022
Towards Tracing Factual Knowledge in Language Models Back to the Training Data Ekin Akyürek Tolga Bolukbasi Frederick Liu Binbin Xiong Ian Tenney Jacob Andreas Kelvin Guu HILM 67 12 0 23 May 2022
A Fine-grained Interpretability Evaluation Benchmark for Neural NLP Lijie Wang Yaozong Shen Shu-ping Peng Shuai Zhang Xinyan Xiao Hao Liu Hongxuan Tang Ying-Cong Chen Hua Wu Haifeng Wang ELM 104 22 0 23 May 2022
Global Extreme Heat Forecasting Using Neural Weather Models I. Lopez‐Gomez A. McGovern Shreya Agrawal Jason Hickey AI4Cl 93 37 0 23 May 2022
Visual Explanations from Deep Networks via Riemann-Stieltjes Integrated Gradient-based Localization Mirtha Lucas Miguel A. Lerma J. Furst D. Raicu FAtt 97 10 0 22 May 2022
Learnable Visual Words for Interpretable Image Recognition Wenxi Xiao Zhengming Ding Hongfu Liu VLM 113 2 0 22 May 2022
Towards Better Understanding Attribution Methods Sukrut Rao Moritz Bohle Bernt Schiele XAI 99 33 0 20 May 2022
B-cos Networks: Alignment is All We Need for Interpretability Moritz D Boehle Mario Fritz Bernt Schiele 112 87 0 20 May 2022
ExMo: Explainable AI Model using Inverse Frequency Decision Rules Pradip Mainali I. Psychoula F. Petitcolas 37 0 0 20 May 2022
Towards Explanation for Unsupervised Graph-Level Representation Learning Qinghua Zheng Jihong Wang Minnan Luo Yaoliang Yu Jundong Li L. Yao Xiao Chang 84 1 0 20 May 2022
FIND:Explainable Framework for Meta-learning Xinyue Shao Hongzhi Wang Xiao-Wen Zhu Feng Xiong FedML 56 2 0 20 May 2022
Cardinality-Minimal Explanations for Monotonic Neural Networks Ouns El Harzli Bernardo Cuenca Grau Ian Horrocks FAtt 73 6 0 19 May 2022
Towards a Theory of Faithfulness: Faithful Explanations of Differentiable Classifiers over Continuous Data Nico Potyka Xiang Yin Francesca Toni FAtt 115 2 0 19 May 2022
The Solvability of Interpretability Evaluation Metrics Yilun Zhou J. Shah 107 9 0 18 May 2022
Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability Jinwei Xing Takashi Nagata Xinyun Zou Emre Neftci J. Krichmar AAML 61 4 0 18 May 2022
A Psychological Theory of Explainability Scott Cheng-Hsin Yang Tomas Folke Patrick Shafto XAI FAtt 104 17 0 17 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Lizhen Qu Shirui Pan Hanghang Tong Jian Pei 139 110 0 16 May 2022
Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection Fan Wang A. Kong 179 10 0 15 May 2022
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations Jessica Dai Sohini Upadhyay Ulrich Aïvodji Stephen H. Bach Himabindu Lakkaraju 96 58 0 15 May 2022
A Study of the Attention Abnormality in Trojaned BERTs Weimin Lyu Songzhu Zheng Teng Ma Chao Chen 86 59 0 13 May 2022
Zero-shot Code-Mixed Offensive Span Identification through Rationale Extraction Manikandan Ravikiran Bharathi Raja Chakravarthi 100 3 0 12 May 2022
Sibylvariant Transformations for Robust Text Classification Fabrice Harel-Canada Muhammad Ali Gulzar Nanyun Peng Miryung Kim AAML VLM 80 4 0 10 May 2022
Explainable Deep Learning Methods in Medical Image Classification: A Survey Cristiano Patrício João C. Neves Luís F. Teixeira XAI 103 60 0 10 May 2022
A Song of (Dis)agreement: Evaluating the Evaluation of Explainable Artificial Intelligence in Natural Language Processing Michael Neely Stefan F. Schouten Maurits J. R. Bleeker Ana Lucic XAI 86 18 0 09 May 2022
Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning Chia-Wen Kuo Z. Kira 97 56 0 09 May 2022