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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
TrafPS: A Shapley-based Visual Analytics Approach to Interpret Traffic Zezheng Feng Yifan Jiang Hongjun Wang Z. Fan Yuxin Ma Shuang-Hua Yang Huamin Qu Xuan Song 51 1 0 07 Mar 2024
T-TAME: Trainable Attention Mechanism for Explaining Convolutional Networks and Vision Transformers Mariano V. Ntrougkas Nikolaos Gkalelis Vasileios Mezaris ViT FAtt 63 7 0 07 Mar 2024
Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification Robert Vacareanu F. Alam M. Islam Haris Riaz Mihai Surdeanu NAI 81 2 0 05 Mar 2024
XAI-Based Detection of Adversarial Attacks on Deepfake Detectors Ben Pinhasov Raz Lapid Rony Ohayon Moshe Sipper Y. Aperstein AAML 82 7 0 05 Mar 2024
The Hidden Attention of Mamba Models Ameen Ali Itamar Zimerman Lior Wolf Mamba 125 64 0 03 Mar 2024
Binary Gaussian Copula Synthesis: A Novel Data Augmentation Technique to Advance ML-based Clinical Decision Support Systems for Early Prediction of Dialysis Among CKD Patients H. Khosravi Srinjoy Das Abdullah Al-Mamun Imtiaz Ahmed 46 2 0 01 Mar 2024
Enhancing Protein Predictive Models via Proteins Data Augmentation: A Benchmark and New Directions Rui Sun Lirong Wu Haitao Lin Yufei Huang Stan Z. Li 65 2 0 01 Mar 2024
Can Interpretability Layouts Influence Human Perception of Offensive Sentences? Thiago Freitas dos Santos Nardine Osman Marco Schorlemmer 78 0 0 01 Mar 2024
User Characteristics in Explainable AI: The Rabbit Hole of Personalization? Robert Nimmo Marios Constantinides Ke Zhou Daniele Quercia Simone Stumpf 75 15 0 29 Feb 2024
ProtoP-OD: Explainable Object Detection with Prototypical Parts Pavlos Rath-Manakidis Frederik Strothmann Tobias Glasmachers Laurenz Wiskott ViT 72 1 0 29 Feb 2024
Temporal-Aware Deep Reinforcement Learning for Energy Storage Bidding in Energy and Contingency Reserve Markets Jinhao Li Changlong Wang Yanru Zhang Hao Wang 38 5 0 29 Feb 2024
Probabilistic Lipschitzness and the Stable Rank for Comparing Explanation Models Lachlan Simpson Kyle Millar A. Cheng Cheng-Chew Lim Hong-Gunn Chew BDL FAtt 101 2 0 29 Feb 2024
A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural Networks Graham Pash M. Hassanaly S. Yellapantula AI4CE 87 0 0 28 Feb 2024
RORA: Robust Free-Text Rationale Evaluation Zhengping Jiang Yining Lu Hanjie Chen Daniel Khashabi Benjamin Van Durme Anqi Liu 90 3 0 28 Feb 2024
Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis Zhenxiao Cheng Jie Zhou Wen Wu Qin Chen Liang He 72 0 0 28 Feb 2024
Understanding the Role of Pathways in a Deep Neural Network Lei Lyu Chen Pang Jihua Wang 68 3 0 28 Feb 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 294 22 0 28 Feb 2024
QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations Jamie Duell Monika Seisenberger Hsuan Fu Xiuyi Fan BDL UQCV 104 1 0 27 Feb 2024
Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset Santosh T.Y.S.S Nina Baumgartner Matthias Sturmer Matthias Grabmair Joel Niklaus ELM AILaw 108 8 0 26 Feb 2024
Holding Secrets Accountable: Auditing Privacy-Preserving Machine Learning Hidde Lycklama Alexander Viand Nicolas Küchler Christian Knabenhans Anwar Hithnawi 120 7 0 24 Feb 2024
Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization Jiliang Li Yifan Zhang Z. Karas Collin McMillan Kevin Leach Yu Huang 155 14 0 22 Feb 2024
MSTAR: Multi-Scale Backbone Architecture Search for Timeseries Classification Tue Cao N.H. Tran Hieu H. Pham Hung T. Nguyen Le P. Nguyen 68 0 0 21 Feb 2024
Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness David Fernández Llorca Ronan Hamon Henrik Junklewitz Kathrin Grosse Lars Kunze ... Nick Reed Alexandre Alahi Emilia Gómez Ignacio E. Sánchez Á. Kriston 110 5 0 21 Feb 2024
OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning Jiaqi Ma Vivian Lai Yiming Zhang Chacha Chen Paul Hamilton Davor Ljubenkov Himabindu Lakkaraju Chenhao Tan ELM 55 3 0 20 Feb 2024
Identifying Semantic Induction Heads to Understand In-Context Learning Jie Ren Qipeng Guo Hang Yan Dongrui Liu Xipeng Qiu Dahua Lin 88 29 0 20 Feb 2024
Investigating the Impact of Model Instability on Explanations and Uncertainty Sara Vera Marjanović Isabelle Augenstein Christina Lioma AAML 84 0 0 20 Feb 2024
Backward Lens: Projecting Language Model Gradients into the Vocabulary Space Shahar Katz Yonatan Belinkov Mor Geva Lior Wolf 117 17 1 20 Feb 2024
XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques Yu Xiong Zhipeng Hu Ye Huang Runze Wu Kai Guan ... Tianze Zhou Yujing Hu Haoyu Liu Tangjie Lyu Changjie Fan OffRL 135 2 0 20 Feb 2024
Visual Reasoning in Object-Centric Deep Neural Networks: A Comparative Cognition Approach Guillermo Puebla Jeffrey S. Bowers OCL 86 0 0 20 Feb 2024
Right on Time: Revising Time Series Models by Constraining their Explanations Maurice Kraus David Steinmann Antonia Wüst Andre Kokozinski Kristian Kersting AI4TS 92 4 0 20 Feb 2024
Gaussian Process Neural Additive Models Wei Zhang Brian Barr John Paisley MedIm BDL 41 7 0 19 Feb 2024
Towards AI-Based Precision Oncology: A Machine Learning Framework for Personalized Counterfactual Treatment Suggestions based on Multi-Omics Data Manuel Schürch Laura Boos V. Heinzelmann-Schwarz Gabriele Gut Michael Krauthammer Andreas Wicki Tumor Profiler Consortium 47 3 0 19 Feb 2024
Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations Milan Bhan Jean-Noel Vittaut Nicolas Chesneau Marie-Jeanne Lesot ReLM LRM 117 6 0 19 Feb 2024
Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models Tianjie Ju Yijin Chen Xinwei Yuan Zhuosheng Zhang Wei Du Yubin Zheng Gongshen Liu KELM 98 9 0 19 Feb 2024
Prospector Heads: Generalized Feature Attribution for Large Models & Data Gautam Machiraju Alexander Derry Arjun D Desai Neel Guha Amir-Hossein Karimi James Zou Russ Altman Christopher Ré Parag Mallick AI4TS MedIm 121 0 0 18 Feb 2024
Challenging the Black Box: A Comprehensive Evaluation of Attribution Maps of CNN Applications in Agriculture and Forestry Lars Nieradzik Henrike Stephani Jördis Sieburg-Rockel Stephanie Helmling Andrea Olbrich Janis Keuper FAtt 92 3 0 18 Feb 2024
Trust Regions for Explanations via Black-Box Probabilistic Certification Amit Dhurandhar Swagatam Haldar Dennis L. Wei Karthikeyan N. Ramamurthy FAtt 99 3 0 17 Feb 2024
Retrieval-Augmented Generation: Is Dense Passage Retrieval Retrieving? Benjamin Z. Reichman Larry Heck 78 9 0 16 Feb 2024
HistoSegCap: Capsules for Weakly-Supervised Semantic Segmentation of Histological Tissue Type in Whole Slide Images Mobina Mansoori Sajjad Shahabodini J. Abouei Arash Mohammadi Konstantinos N. Plataniotis 50 0 0 16 Feb 2024
Feature Accentuation: Revealing 'What' Features Respond to in Natural Images Christopher Hamblin Thomas Fel Srijani Saha Talia Konkle George A. Alvarez FAtt 95 3 0 15 Feb 2024
Explaining Probabilistic Models with Distributional Values Luca Franceschi Michele Donini Cédric Archambeau Matthias Seeger FAtt 93 2 0 15 Feb 2024
Implementing local-explainability in Gradient Boosting Trees: Feature Contribution Ángel Delgado-Panadero Beatriz Hernández-Lorca María Teresa García-Ordás J. Benítez-Andrades 88 55 0 14 Feb 2024
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation Xuexin Chen Ruichu Cai Zhengting Huang Yuxuan Zhu Julien Horwood Zhifeng Hao Zijian Li Jose Miguel Hernandez-Lobato AAML 108 3 0 13 Feb 2024
CMA-R:Causal Mediation Analysis for Explaining Rumour Detection Lin Tian Xiuzhen Zhang Jey Han Lau 56 0 0 13 Feb 2024
Insights into Natural Language Database Query Errors: From Attention Misalignment to User Handling Strategies Zheng Ning Yuan Tian Zheng Zhang Tianyi Zhang Tao Li 130 8 0 11 Feb 2024
Explainable Global Wildfire Prediction Models using Graph Neural Networks Dayou Chen Sibo Cheng Jinwei Hu M. Kasoar Rossella Arcucci 71 5 0 11 Feb 2024
Exploring Group and Symmetry Principles in Large Language Models Shima Imani Hamid Palangi LRM 56 1 0 09 Feb 2024
AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers Reduan Achtibat Sayed Mohammad Vakilzadeh Hatefi Maximilian Dreyer Aakriti Jain Thomas Wiegand Sebastian Lapuschkin Wojciech Samek 88 37 0 08 Feb 2024
A computational approach to visual ecology with deep reinforcement learning Sacha Sokoloski Jure Majnik Philipp Berens 25 0 0 07 Feb 2024
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications Boyi Wei Kaixuan Huang Yangsibo Huang Tinghao Xie Xiangyu Qi Mengzhou Xia Prateek Mittal Mengdi Wang Peter Henderson AAML 153 118 0 07 Feb 2024