v1v2 (latest)

Axiomatic Attribution for Deep Networks

4 March 2017

Ankur Taly

Papers citing "Axiomatic Attribution for Deep Networks"

50 / 2,872 papers shown

Title
Adapting Pretrained Language Models for Solving Tabular Prediction Problems in the Electronic Health Record C. McMaster D. Liew Douglas E. V. Pires 109 5 0 27 Mar 2023
Learning with Explanation Constraints Rattana Pukdee Dylan Sam J. Zico Kolter Maria-Florina Balcan Pradeep Ravikumar FAtt 105 6 0 25 Mar 2023
Explainable Image Quality Assessment for Medical Imaging Caner Ozer Arda Güler A. Cansever Ilkay Oksuz 72 3 0 25 Mar 2023
IDGI: A Framework to Eliminate Explanation Noise from Integrated Gradients Ruo Yang Binghui Wang M. Bilgic 125 21 0 24 Mar 2023
Improving Prediction Performance and Model Interpretability through Attention Mechanisms from Basic and Applied Research Perspectives Shunsuke Kitada FaML HAI AI4CE 72 1 0 24 Mar 2023
Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data Paul Hager Fernando Navarro Daniel Rueckert 110 55 0 24 Mar 2023
Towards Learning and Explaining Indirect Causal Effects in Neural Networks Abbaavaram Gowtham Reddy Saketh Bachu Harsh Nilesh Pathak Ben Godfrey V. Balasubramanian V. Varshaneya Satya Narayanan Kar CML 95 1 0 24 Mar 2023
Extracting real estate values of rental apartment floor plans using graph convolutional networks A. Takizawa GNN 41 1 0 23 Mar 2023
Reckoning with the Disagreement Problem: Explanation Consensus as a Training Objective Avi Schwarzschild Max Cembalest K. Rao Keegan E. Hines John P Dickerson FAtt 39 5 0 23 Mar 2023
Fairness Improves Learning from Noisily Labeled Long-Tailed Data Jiaheng Wei Zhaowei Zhu Gang Niu Tongliang Liu Sijia Liu Masashi Sugiyama Yang Liu 70 7 0 22 Mar 2023
Improving Transformer Performance for French Clinical Notes Classification Using Mixture of Experts on a Limited Dataset Thanh-Dung Le P. Jouvet R. Noumeir MoE MedIm 144 5 0 22 Mar 2023
Better Understanding Differences in Attribution Methods via Systematic Evaluations Sukrut Rao Moritz D Boehle Bernt Schiele XAI 95 4 0 21 Mar 2023
Unlocking Layer-wise Relevance Propagation for Autoencoders Kenyu Kobayashi Renata Khasanova Arno Schneuwly Felix Schmidt Matteo Casserini FAtt 32 0 0 21 Mar 2023
Approaching an unknown communication system by latent space exploration and causal inference Gašper Beguš Andrej Leban Shane Gero 52 4 0 20 Mar 2023
Studying Limits of Explainability by Integrated Gradients for Gene Expression Models Myriam Bontonou Anais Haget Maria Boulougouri J. Arbona Benjamin Audit Pierre Borgnat 32 2 0 19 Mar 2023
Deephys: Deep Electrophysiology, Debugging Neural Networks under Distribution Shifts Anirban Sarkar Matthew Groth I. Mason Tomotake Sasaki Xavier Boix 56 1 0 17 Mar 2023
Causal Discovery from Temporal Data: An Overview and New Perspectives Chang Gong Di Yao Chuzhe Zhang Wenbin Li Jingping Bi AI4TS CML 118 19 0 17 Mar 2023
Leaping Into Memories: Space-Time Deep Feature Synthesis Alexandros Stergiou Nikos Deligiannis 55 0 0 17 Mar 2023
Explainable GeoAI: Can saliency maps help interpret artificial intelligence's learning process? An empirical study on natural feature detection Chia-Yu Hsu Wenwen Li AAML FAtt 42 38 0 16 Mar 2023
Class Attribute Inference Attacks: Inferring Sensitive Class Information by Diffusion-Based Attribute Manipulations Lukas Struppek Dominik Hintersdorf Felix Friedrich Manuel Brack P. Schramowski Kristian Kersting MIACV 70 2 0 16 Mar 2023
Preoperative Prognosis Assessment of Lumbar Spinal Surgery for Low Back Pain and Sciatica Patients based on Multimodalities and Multimodal Learning Lichin Chen Jung-Nien Lai Hung-En Lin Hsien-Te Chen Kuo-Hsuan Hung Yu Tsao AI4CE 53 0 0 16 Mar 2023
Contextual Trust Ryan Kearns 41 1 0 15 Mar 2023
EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models Ian E. Nielsen Ravichandran Ramachandran N. Bouaynaya Hassan M. Fathallah-Shaykh Ghulam Rasool AAML FAtt 132 9 0 15 Mar 2023
Exploring Resiliency to Natural Image Corruptions in Deep Learning using Design Diversity Rafael Rosales Pablo Munoz Michael Paulitsch 73 2 0 15 Mar 2023
A Test Statistic Estimation-based Approach for Establishing Self-interpretable CNN-based Binary Classifiers S. Sengupta M. Anastasio MedIm 75 6 0 13 Mar 2023
Interpreting Hidden Semantics in the Intermediate Layers of 3D Point Cloud Classification Neural Network Weiquan Liu Minghao Liu Shijun Zheng Cheng-i Wang 3DPC 53 3 0 12 Mar 2023
Schema Inference for Interpretable Image Classification Haofei Zhang Mengqi Xue Xiaokang Liu Kaixuan Chen Mingli Song Mingli Song OCL 78 3 0 12 Mar 2023
Use Perturbations when Learning from Explanations Juyeon Heo Vihari Piratla Matthew Wicker Adrian Weller AAML 64 1 0 11 Mar 2023
Explainable AI for Time Series via Virtual Inspection Layers Johanna Vielhaben Sebastian Lapuschkin G. Montavon Wojciech Samek XAI AI4TS 81 29 0 11 Mar 2023
Interpretable Outlier Summarization Yu Wang Lei Cao Yizhou Yan Samuel Madden 112 0 0 11 Mar 2023
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization Alan Jeffares Tennison Liu Jonathan Crabbé F. Imrie M. Schaar CML 84 27 0 09 Mar 2023
A Categorical Framework of General Intelligence Yang Yuan 87 2 0 08 Mar 2023
NxPlain: Web-based Tool for Discovery of Latent Concepts Fahim Dalvi Nadir Durrani Hassan Sajjad Tamim Jaban Musab Husaini Ummar Abbas 69 1 0 06 Mar 2023
A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification Xiang Hu Xinyu Kong Kewei Tu MILM BDL 67 5 0 06 Mar 2023
Knowledge-embedded meta-learning model for lift coefficient prediction of airfoils Hairun Xie Jing Wang Miao Zhang 26 6 0 06 Mar 2023
CoRTX: Contrastive Framework for Real-time Explanation Yu-Neng Chuang Guanchu Wang Fan Yang Quan-Gen Zhou Pushkar Tripathi Xuanting Cai Helen Zhou 91 20 0 05 Mar 2023
Feature Importance Disparities for Data Bias Investigations Peter W. Chang Leor Fishman Seth Neel 94 2 0 03 Mar 2023
Feature Perturbation Augmentation for Reliable Evaluation of Importance Estimators in Neural Networks L. Brocki N. C. Chung FAtt AAML 94 11 0 02 Mar 2023
iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams Maximilian Muschalik Fabian Fumagalli Barbara Hammer Eyke Hüllermeier 57 3 0 02 Mar 2023
Understanding and Unifying Fourteen Attribution Methods with Taylor Interactions Huiqi Deng Na Zou Mengnan Du Weifu Chen Guo-Can Feng Ziwei Yang Zheyang Li Quanshi Zhang FAtt TDI 97 22 0 02 Mar 2023
Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision Siyuan Yan Zhen Yu Xuelin Zhang Dwarikanath Mahapatra Shekhar S. Chandra Monika Janda Peter Soyer Z. Ge 94 26 0 02 Mar 2023
ToxVis: Enabling Interpretability of Implicit vs. Explicit Toxicity Detection Models with Interactive Visualization Uma Sushmitha Gunturi Xi Ding Eugenia H Rho 13 2 0 01 Mar 2023
Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science P. Bommer M. Kretschmer Anna Hedström Dilyara Bareeva Marina M.-C. Höhne 111 41 0 01 Mar 2023
A Practical Upper Bound for the Worst-Case Attribution Deviations Fan Wang A. Kong AAML 103 5 0 01 Mar 2023
A semantic backdoor attack against Graph Convolutional Networks Jiazhu Dai Zhipeng Xiong AAML 112 10 0 28 Feb 2023
Inseq: An Interpretability Toolkit for Sequence Generation Models Gabriele Sarti Nils Feldhus Ludwig Sickert Oskar van der Wal Malvina Nissim Arianna Bisazza 131 70 0 27 Feb 2023
Explanations for Automatic Speech Recognition Xiao-lan Wu P. Bell A. Rajan 86 7 0 27 Feb 2023
Online Black-Box Confidence Estimation of Deep Neural Networks Fabian Woitschek G. Schneider UQCV 63 1 0 27 Feb 2023
Does a Neural Network Really Encode Symbolic Concepts? Mingjie Li Quanshi Zhang 98 31 0 25 Feb 2023
Don't be fooled: label leakage in explanation methods and the importance of their quantitative evaluation N. Jethani A. Saporta Rajesh Ranganath FAtt 85 11 0 24 Feb 2023