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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
Gradient weighting for speaker verification in extremely low Signal-to-Noise Ratio Yi Ma Kong Aik Lee Ville Hautamaki Meng Ge Haizhou Li 61 0 0 05 Jan 2024
Do Concept Bottleneck Models Respect Localities? Naveen Raman M. Zarlenga Juyeon Heo M. Jamnik 144 8 0 02 Jan 2024
DXAI: Explaining Classification by Image Decomposition Elnatan Kadar Guy Gilboa FAtt 74 0 0 30 Dec 2023
Is Knowledge All Large Language Models Needed for Causal Reasoning? Hengrui Cai Shengjie Liu Rui Song LRM ELM 139 13 0 30 Dec 2023
Causal State Distillation for Explainable Reinforcement Learning Wenhao Lu Xufeng Zhao Thilo Fryen Jae Hee Lee Mengdi Li S. Magg Stefan Wermter CML 94 2 0 30 Dec 2023
Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training Dongfang Li Baotian Hu Qingcai Chen Shan He 78 6 0 29 Dec 2023
3VL: Using Trees to Improve Vision-Language Models' Interpretability Nir Yellinek Leonid Karlinsky Raja Giryes CoGe VLM 300 3 0 28 Dec 2023
Fast gradient-free activation maximization for neurons in spiking neural networks N. Pospelov Andrei Chertkov Maxim Beketov Ivan Oseledets Konstantin Anokhin 62 2 0 28 Dec 2023
Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck Attribution Ying Wang Tim G. J. Rudner Andrew Gordon Wilson 72 22 0 28 Dec 2023
Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision Wonjoon Chang Dahee Kwon Jaesik Choi 64 1 0 28 Dec 2023
LLM Factoscope: Uncovering LLMs' Factual Discernment through Inner States Analysis Jinwen He Yujia Gong Kai-xiang Chen Zijin Lin Chengán Wei Yue Zhao 67 3 0 27 Dec 2023
TVE: Learning Meta-attribution for Transferable Vision Explainer Guanchu Wang Yu-Neng Chuang Fan Yang Mengnan Du Chia-Yuan Chang ... Zirui Liu Zhaozhuo Xu Kaixiong Zhou Xuanting Cai Helen Zhou 113 1 0 23 Dec 2023
Real-time Neural Network Inference on Extremely Weak Devices: Agile Offloading with Explainable AI Kai Huang Wei Gao 70 36 0 21 Dec 2023
ElasticTrainer: Speeding Up On-Device Training with Runtime Elastic Tensor Selection Kai Huang Boyuan Yang Wei Gao 93 21 0 21 Dec 2023
MFABA: A More Faithful and Accelerated Boundary-based Attribution Method for Deep Neural Networks Zhiyu Zhu Huaming Chen Jiayu Zhang Xinyi Wang Zhibo Jin Minhui Xue Dongxiao Zhu Kim-Kwang Raymond Choo FAtt 67 11 0 21 Dec 2023
HCDIR: End-to-end Hate Context Detection, and Intensity Reduction model for online comments Neeraj Kumar Singh Koyel Ghosh Joy Mahapatra Utpal Garain Apurbalal Senapati 78 0 0 20 Dec 2023
Explainable artificial intelligence approaches for brain-computer interfaces: a review and design space Param S. Rajpura H. Cecotti Y. Meena 75 9 0 20 Dec 2023
ALMANACS: A Simulatability Benchmark for Language Model Explainability Edmund Mills Shiye Su Stuart J. Russell Scott Emmons 173 9 0 20 Dec 2023
On Early Detection of Hallucinations in Factual Question Answering Ben Snyder Marius Moisescu Muhammad Bilal Zafar HILM 125 28 0 19 Dec 2023
Neuron-Level Knowledge Attribution in Large Language Models Zeping Yu Sophia Ananiadou FAtt KELM 92 11 0 19 Dec 2023
CAManim: Animating end-to-end network activation maps Emily Kaczmarek Olivier X. Miguel Alexa C. Bowie R. Ducharme Alysha L. J. Dingwall-Harvey S. Hawken Christine M. Armour Mark C. Walker Kevin Dick HAI 98 1 0 19 Dec 2023
ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton Wei-Yao Wang Wenjie Peng Wei Wang Philip S. Yu 59 0 0 18 Dec 2023
Identification of Knowledge Neurons in Protein Language Models Divya Nori Shivali Singireddy M. T. Have MILM 79 2 0 17 Dec 2023
ResoNet: Robust and Explainable ENSO Forecasts with Hybrid Convolution and Transformer Networks Pumeng Lyu Tao Tang Fenghua Ling Jing-Jia Luo Niklas Boers Wanli Ouyang Lei Bai 63 7 0 16 Dec 2023
Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning Tom Nuno Wolf Fabian Bongratz Anne-Marie Rickmann Sebastian Polsterl Christian Wachinger AAML FAtt 73 6 0 15 Dec 2023
Discovering Highly Influential Shortcut Reasoning: An Automated Template-Free Approach Daichi Haraguchi Kiyoaki Shirai Naoya Inoue Natthawut Kertkeidkachorn LRM 37 0 0 15 Dec 2023
CGS-Mask: Making Time Series Predictions Intuitive for All Feng Lu Wei Li Yifei Sun Cheng Song Yufei Ren Albert Y. Zomaya AI4TS 58 0 0 15 Dec 2023
Attribute Regularized Soft Introspective Variational Autoencoder for Interpretable Cardiac Disease Classification Maxime Di Folco Cosmin I. Bercea Julia A. Schnabel 66 0 0 14 Dec 2023
Conceptualizing Suicidal Behavior: Utilizing Explanations of Predicted Outcomes to Analyze Longitudinal Social Media Data Van Minh Nguyen Nasheen Nur William Stern Thomas Mercer Chiradeep Sen S. Bhattacharyya Victor Tumbiolo Seng Jhing Goh 71 4 0 13 Dec 2023
CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal Feature Removal Problem Qian Chen Tao Zhang Dongyang Li Xiaofeng He 97 0 0 13 Dec 2023
Accelerating the Global Aggregation of Local Explanations Alon Mor Yonatan Belinkov B. Kimelfeld FAtt 71 4 0 13 Dec 2023
Prototypical Self-Explainable Models Without Re-training Srishti Gautam Ahcène Boubekki Marina M.-C. Höhne Michael C. Kampffmeyer 103 2 0 13 Dec 2023
Artificial Intelligence for Digital and Computational Pathology Andrew H. Song Guillaume Jaume Drew F. K. Williamson Ming Y. Lu Anurag J. Vaidya Tiffany R. Miller Faisal Mahmood AI4CE 98 152 0 13 Dec 2023
I Open at the Close: A Deep Reinforcement Learning Evaluation of Open Streets Initiatives R. T. Witter Lucas Rosenblatt HAI AI4CE 43 0 0 12 Dec 2023
Identifying Drivers of Predictive Aleatoric Uncertainty Pascal Iversen Simon Witzke Katharina Baum Bernhard Y. Renard UD 153 2 0 12 Dec 2023
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images Baowei Li Zhenyu Liu Lizhi Shao Bensheng Qiu Hong Bu Jie Tian OOD MedIm 88 7 0 11 Dec 2023
MATK: The Meme Analytical Tool Kit Ming Shan Hee Aditi Kumaresan N. Hoang Nirmalendu Prakash Rui Cao Roy Ka-wei Lee VLM 54 2 0 11 Dec 2023
Evaluating the Utility of Model Explanations for Model Development Shawn Im Jacob Andreas Yilun Zhou XAI FAtt ELM 79 1 0 10 Dec 2023
FM-G-CAM: A Holistic Approach for Explainable AI in Computer Vision Ravidu Suien Rammuni Silva Jordan J. Bird FAtt 59 1 0 10 Dec 2023
Is Ignorance Bliss? The Role of Post Hoc Explanation Faithfulness and Alignment in Model Trust in Laypeople and Domain Experts Tessa Han Yasha Ektefaie Maha Farhat Marinka Zitnik Himabindu Lakkaraju FAtt 58 4 0 09 Dec 2023
Using Captum to Explain Generative Language Models Vivek Miglani Aobo Yang Aram H. Markosyan Diego Garcia-Olano Narine Kokhlikyan 104 33 0 09 Dec 2023
An adversarial attack approach for eXplainable AI evaluation on deepfake detection models Balachandar Gowrisankar V. Thing AAML 72 12 0 08 Dec 2023
SA-Attack: Improving Adversarial Transferability of Vision-Language Pre-training Models via Self-Augmentation Bangyan He Xiaojun Jia Siyuan Liang Tianrui Lou Yang Liu Xiaochun Cao AAML VLM 113 29 0 08 Dec 2023
Interpretable Underwater Diver Gesture Recognition Sudeep Mangalvedhekar Shreyas Nahar Sudarshan Maskare Kaushal Mahajan Anant Bagade 38 0 0 08 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 166 2 0 07 Dec 2023
Explainable Severity ranking via pairwise n-hidden comparison: a case study of glaucoma Hong Nguyen Cuong V. Nguyen Shrikanth Narayanan B. Y. Xu Michael Pazzani 54 1 0 05 Dec 2023
Class-Discriminative Attention Maps for Vision Transformers L. Brocki Jakub Binda N. C. Chung MedIm 120 4 0 04 Dec 2023
FeaInfNet: Diagnosis in Medical Image with Feature-Driven Inference and Visual Explanations Yitao Peng Lianghua He D. Hu Yihang Liu Longzhen Yang Shaohua Shang FAtt 82 0 0 04 Dec 2023
TextGenSHAP: Scalable Post-hoc Explanations in Text Generation with Long Documents James Enouen Hootan Nakhost Sayna Ebrahimi Sercan O. Arik Yan Liu Tomas Pfister 98 7 0 03 Dec 2023
Identifying Spurious Correlations using Counterfactual Alignment Joseph Paul Cohen Louis Blankemeier Akshay S. Chaudhari CML 132 1 0 01 Dec 2023