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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
An Attribution Method for Siamese Encoders Lucas Moller Dmitry Nikolaev Sebastian Padó 82 5 0 09 Oct 2023
Dynamic Top-k Estimation Consolidates Disagreement between Feature Attribution Methods Jonathan Kamp Lisa Beinborn Antske Fokkens FAtt 66 1 0 09 Oct 2023
InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations Nils Feldhus Qianli Wang Tatiana Anikina Sahil Chopra Cennet Oguz Sebastian Möller 95 14 0 09 Oct 2023
GradXKG: A Universal Explain-per-use Temporal Knowledge Graph Explainer Chenhan Yuan Hoda Eldardiry 69 0 0 07 Oct 2023
LIPEx-Locally Interpretable Probabilistic Explanations-To Look Beyond The True Class Hongbo Zhu Angelo Cangelosi Procheta Sen Anirbit Mukherjee FAtt 63 0 0 07 Oct 2023
A New Baseline Assumption of Integated Gradients Based on Shaply value Shuyang Liu Zixuan Chen Ge Shi Ji Wang Changjie Fan Yu Xiong Runze Wu Yujing Hu Ze Ji Yang Gao 59 3 0 07 Oct 2023
Privacy-Preserving Financial Anomaly Detection via Federated Learning & Multi-Party Computation Sunpreet S. Arora Andrew Beams Panagiotis Chatzigiannis Sebastian Meiser Karan Patel ... Harshal Shah Yizhen Wang Yuhang Wu Hao Yang Mahdi Zamani FedML 53 4 0 06 Oct 2023
SPADE: Sparsity-Guided Debugging for Deep Neural Networks Arshia Soltani Moakhar Eugenia Iofinova Elias Frantar Dan Alistarh 106 2 0 06 Oct 2023
Introducing the Attribution Stability Indicator: a Measure for Time Series XAI Attributions U. Schlegel Daniel A. Keim AI4TS 92 1 0 06 Oct 2023
DecoderLens: Layerwise Interpretation of Encoder-Decoder Transformers Anna Langedijk Hosein Mohebbi Gabriele Sarti Willem H. Zuidema Jaap Jumelet 95 12 0 05 Oct 2023
Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally Shawqi Al-Maliki Adnan Qayyum Hassan Ali M. Abdallah Junaid Qadir D. Hoang Dusit Niyato Ala I. Al-Fuqaha AAML 121 3 0 05 Oct 2023
The Blame Problem in Evaluating Local Explanations, and How to Tackle it Amir Hossein Akhavan Rahnama ELM FAtt 83 5 0 05 Oct 2023
A Quantitatively Interpretable Model for Alzheimer's Disease Prediction Using Deep Counterfactuals Kwanseok Oh Da-Woon Heo A. Mulyadi Wonsik Jung Eunsong Kang Kun Ho Lee Heung-Il Suk 57 2 0 05 Oct 2023
Co-modeling the Sequential and Graphical Routes for Peptide Representation Learning Zihan Liu Ge Wang Jiaqi Wang Jiangbin Zheng Stan Z. Li AI4TS 42 2 0 04 Oct 2023
Quantifying the Plausibility of Context Reliance in Neural Machine Translation Gabriele Sarti Grzegorz Chrupala Malvina Nissim Arianna Bisazza 83 5 0 02 Oct 2023
SMOOT: Saliency Guided Mask Optimized Online Training Ali Karkehabadi Houman Homayoun Avesta Sasan AAML 48 17 0 01 Oct 2023
Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals Y. Gat Nitay Calderon Amir Feder Alexander Chapanin Amit Sharma Roi Reichart 135 36 0 01 Oct 2023
From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning Xuansheng Wu Wenlin Yao Jianshu Chen Xiaoman Pan Xiaoyang Wang Ninghao Liu Dong Yu LRM 85 33 0 30 Sep 2023
Machine Learning Clifford invariants of ADE Coxeter elements Siqi Chen Pierre-Philippe Dechant Yang-Hui He Elli Heyes Edward Hirst Dmitrii Riabchenko 80 6 0 29 Sep 2023
Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative Pretraining T. Han Laura vZigutyt.e L. Huck M. Huppertz R. Siepmann ... Firas Khader Christiane Kuhl S. Nebelung Jakob Kather Daniel Truhn MedIm 86 3 0 29 Sep 2023
Reliability Quantification of Deep Reinforcement Learning-based Control Hitoshi Yoshioka Hirotada Hashimoto 64 0 0 29 Sep 2023
Axiomatic Aggregations of Abductive Explanations Gagan Biradar Yacine Izza Elita Lobo Vignesh Viswanathan Yair Zick FAtt 108 6 0 29 Sep 2023
ONNXExplainer: an ONNX Based Generic Framework to Explain Neural Networks Using Shapley Values Yong Zhao Runxin He Nicholas Kersting Can Liu Shubham Agrawal Chiranjeet Chetia Yu Gu FAtt TDI 109 0 0 29 Sep 2023
A Primer on Bayesian Neural Networks: Review and Debates Federico Danieli Konstantinos Pitas M. Vladimirova Vincent Fortuin BDL AAML 107 20 0 28 Sep 2023
GInX-Eval: Towards In-Distribution Evaluation of Graph Neural Network Explanations Kenza Amara Mennatallah El-Assady Rex Ying 58 6 0 28 Sep 2023
Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning Chao Liu Zhaoyuan Gu Hanran Wu Deniz Irem Erus Ye Zhao 110 6 0 28 Sep 2023
Neural Stochastic Differential Equations for Robust and Explainable Analysis of Electromagnetic Unintended Radiated Emissions Sumit Kumar Jha Susmit Jha Rickard Ewetz Alvaro Velasquez 76 2 0 27 Sep 2023
DeepROCK: Error-controlled interaction detection in deep neural networks Winston Chen William Stafford Noble Y. Lu 75 1 0 26 Sep 2023
Explaining Deep Face Algorithms through Visualization: A Survey Thrupthi Ann S. M. I. C. V. Balasubramanian M. Jawahar CVBM 61 1 0 26 Sep 2023
Overview of Class Activation Maps for Visualization Explainability Anh Pham Thi Minh HAI FAtt 88 5 0 25 Sep 2023
May I Ask a Follow-up Question? Understanding the Benefits of Conversations in Neural Network Explainability Tong Zhang Xiaoyu Yang Boyang Albert Li 73 4 0 25 Sep 2023
Multiple Different Black Box Explanations for Image Classifiers Hana Chockler D. A. Kelly Daniel Kroening FAtt 128 0 0 25 Sep 2023
A Model-Agnostic Graph Neural Network for Integrating Local and Global Information Wenzhuo Zhou Annie Qu Keiland W Cooper Norbert Fortin Babak Shahbaba 130 1 0 23 Sep 2023
Towards Attributions of Input Variables in a Coalition Xinhao Zheng Huiqi Deng Bo Fan Quanshi Zhang 65 1 0 23 Sep 2023
Can I Trust the Explanations? Investigating Explainable Machine Learning Methods for Monotonic Models Dangxing Chen FAtt LRM 47 1 0 23 Sep 2023
Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation Kai Huang Hanyu Yin Heng Huang Wei Gao 95 11 0 22 Sep 2023
A matter of attitude: Focusing on positive and active gradients to boost saliency maps Oscar Llorente Jaime Boal Eugenio F. Sánchez-Úbeda FAtt 37 0 0 22 Sep 2023
Targeted Activation Penalties Help CNNs Ignore Spurious Signals Dekai Zhang Hamed Ayoobi Francesca Toni AAML 49 1 0 22 Sep 2023
Signature Activation: A Sparse Signal View for Holistic Saliency José Roberto Tello-Ayala A. Fahed Weiwei Pan E. Pomerantsev P. Ellinor Anthony Philippakis Finale Doshi-Velez MedIm FAtt 41 1 0 20 Sep 2023
From Classification to Segmentation with Explainable AI: A Study on Crack Detection and Growth Monitoring Florent Forest Hugo Porta D. Tuia Olga Fink 99 11 0 20 Sep 2023
When to Trust AI: Advances and Challenges for Certification of Neural Networks Marta Kwiatkowska Xiyue Zhang AAML 193 9 0 20 Sep 2023
ProtoExplorer: Interpretable Forensic Analysis of Deepfake Videos using Prototype Exploration and Refinement M. D. L. D. Bouter J. Pardo Z. Geradts M. Worring 70 11 0 20 Sep 2023
ModelGiF: Gradient Fields for Model Functional Distance Mingli Song Zhenxing Xu Sai Wu Gang Chen Mingli Song DiffM 78 5 0 20 Sep 2023
COSE: A Consistency-Sensitivity Metric for Saliency on Image Classification Rangel Daroya Aaron Sun Subhransu Maji 68 0 0 20 Sep 2023
Nebula: Self-Attention for Dynamic Malware Analysis Dmitrijs Trizna Christian Scano Battista Biggio Fabio Roli 74 15 0 19 Sep 2023
Weakly Supervised Reasoning by Neuro-Symbolic Approaches Xianggen Liu Zhengdong Lu Lili Mou LRM NAI 96 4 0 19 Sep 2023
Rigorously Assessing Natural Language Explanations of Neurons Jing-ling Huang Atticus Geiger Karel DÓosterlinck Zhengxuan Wu Christopher Potts MILM 77 29 0 19 Sep 2023
On Model Explanations with Transferable Neural Pathways Xinmiao Lin Wentao Bao Qi Yu Yu Kong 39 0 0 18 Sep 2023
Information based explanation methods for deep learning agents -- with applications on large open-source chess models Patrik Hammersborg Inga Strümke 33 1 0 18 Sep 2023
X-PARADE: Cross-Lingual Textual Entailment and Information Divergence across Paragraphs Juan Diego Rodriguez Katrin Erk Greg Durrett 94 4 0 16 Sep 2023