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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
Evaluating the Effectiveness of XAI Techniques for Encoder-Based Language Models Melkamu Mersha Mesay Gemeda Yigezu Jugal Kalita ELM 235 5 0 26 Jan 2025
Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing Zeping Yu Sophia Ananiadou KELM 116 3 0 24 Jan 2025
Surrogate Modeling for Explainable Predictive Time Series Corrections Alfredo Lopez Florian Sobieczky AI4TS 125 0 0 17 Jan 2025
COMIX: Compositional Explanations using Prototypes S. Sivaprasad D. Kangin Plamen Angelov Mario Fritz 436 0 0 10 Jan 2025
Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers Tobias Leemann Alina Fastowski Felix Pfeiffer Gjergji Kasneci 180 5 0 10 Jan 2025
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology Julius Hense M. J. Idaji Oliver Eberle Thomas Schnake Jonas Dippel Laure Ciernik Oliver Buchstab Andreas Mock Frederick Klauschen Klaus-Robert Müller 95 3 0 08 Jan 2025
Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic Yifei He Yuzheng Hu Yong Lin Tong Zhang Han Zhao FedML MoMe 129 25 0 08 Jan 2025
Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System Models P. Hess Markus Drüke S. Petri Felix M. Strnad Niklas Boers 114 66 0 03 Jan 2025
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics Lukas Klein Carsten T. Lüth U. Schlegel Till J. Bungert Mennatallah El-Assady Paul F. Jäger XAI ELM 278 7 0 03 Jan 2025
Multi-Head Explainer: A General Framework to Improve Explainability in CNNs and Transformers Bohang Sun Pietro Liò ViT AAML 152 1 0 02 Jan 2025
HMM-LSTM Fusion Model for Economic Forecasting Guhan Sivakumar AI4TS 97 0 0 01 Jan 2025
FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation Qianli Wang Nils Feldhus Simon Ostermann Luis Felipe Villa-Arenas Sebastian Möller Vera Schmitt AAML 128 1 0 01 Jan 2025
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach Ruichu Cai Yuxuan Zhu Xuexin Chen Yuan Fang Min-man Wu Jie Qiao Zijian Li 123 8 0 31 Dec 2024
Attribution for Enhanced Explanation with Transferable Adversarial eXploration Zhiyu Zhu Jiayu Zhang Zhibo Jin Huaming Chen Jianlong Zhou Fang Chen AAML ViT 88 0 0 27 Dec 2024
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory Fabian Fumagalli Maximilian Muschalik Eyke Hüllermeier Barbara Hammer J. Herbinger FAtt 199 4 0 22 Dec 2024
Can Input Attributions Explain Inductive Reasoning in In-Context Learning? Mengyu Ye Tatsuki Kuribayashi Goro Kobayashi Jun Suzuki LRM 162 0 0 20 Dec 2024
A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Shilin Sun Wenbin An Feng Tian Fang Nan Qidong Liu Jing Liu N. Shah Ping Chen 157 6 0 18 Dec 2024
Constructing sensible baselines for Integrated Gradients Jai Bardhan Cyrin Neeraj Mihir Rawat Subhadip Mitra 116 0 0 18 Dec 2024
Detecting Machine-Generated Music with Explainability -- A Challenge and Early Benchmarks Yupei Li Qiyang Sun Hanqian Li Lucia Specia Björn Schuller 129 4 0 18 Dec 2024
Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Elad Shohama Hadar Cohena Khalil Wattada Havana Rikab Dan Vilenchik 118 1 0 15 Dec 2024
Advancing Attribution-Based Neural Network Explainability through Relative Absolute Magnitude Layer-Wise Relevance Propagation and Multi-Component Evaluation Davor Vukadin Petar Afrić Marin Šilić Goran Delač FAtt 137 2 0 12 Dec 2024
FaceX: Understanding Face Attribute Classifiers through Summary Model Explanations Ioannis Sarridis C. Koutlis Symeon Papadopoulos Christos Diou CVBM 157 0 0 10 Dec 2024
Policy-shaped prediction: avoiding distractions in model-based reinforcement learning Miles Hutson Isaac Kauvar Nick Haber 159 0 0 08 Dec 2024
From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation Kristoffer Wickstrøm Marina M.-C. Höhne Anna Hedström AAML 171 2 0 07 Dec 2024
Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task Alireza Maleki Mahsa Lavaei Mohsen Bagheritabar Salar Beigzad Zahra Abadi MQ 103 0 0 05 Dec 2024
Uniform Discretized Integrated Gradients: An effective attribution based method for explaining large language models Swarnava Sinha Roy Ayan Kundu FAtt 102 0 0 05 Dec 2024
A Unified Framework for Evaluating the Effectiveness and Enhancing the Transparency of Explainable AI Methods in Real-World Applications M. Islam M. F. Mridha Md Abrar Jahin Nilanjan Dey 83 2 0 05 Dec 2024
OMENN: One Matrix to Explain Neural Networks Adam Wróbel Mikołaj Janusz Bartosz Zieliñski Dawid Rymarczyk FAtt AAML 151 0 0 03 Dec 2024
Concept Based Continuous Prompts for Interpretable Text Classification Qian Chen Dongyang Li Xiaofeng He 134 0 0 02 Dec 2024
Neuron Abandoning Attention Flow: Visual Explanation of Dynamics inside CNN Models Yi Liao Yongsheng Gao Weichuan Zhang 105 0 0 02 Dec 2024
Explaining Object Detectors via Collective Contribution of Pixels Toshinori Yamauchi Hiroshi Kera K. Kawamoto ObjD FAtt 113 1 0 01 Dec 2024
Explaining the Impact of Training on Vision Models via Activation Clustering Ahcène Boubekki Samuel G. Fadel Sebastian Mair 293 0 0 29 Nov 2024
Large Scale Evaluation of Deep Learning-based Explainable Solar Flare Forecasting Models with Attribution-based Proximity Analysis Temitope Adeyeha Chetraj Pandey Berkay Aydin FAtt 112 0 0 27 Nov 2024
One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Pengfei Cao Yuheng Chen Zhuoran Jin Yubo Chen Kang Liu Jun Zhao KELM 115 0 0 26 Nov 2024
Explainable AI Approach using Near Misses Analysis Eran Kaufman Avivit levy 85 0 0 25 Nov 2024
Interpreting Object-level Foundation Models via Visual Precision Search Ruoyu Chen Siyuan Liang Jingzhi Li Shiming Liu Maosen Li Zheng Huang Qichuan Geng Xiaochun Cao FAtt 228 4 0 25 Nov 2024
GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers Éloi Zablocki Valentin Gerard Amaia Cardiel Eric Gaussier Matthieu Cord Eduardo Valle 164 0 0 23 Nov 2024
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Won Jun Kim Hyungjin Chung Jaemin Kim Sangmin Lee Byeongsu Sim Jong Chul Ye DiffM 130 0 0 22 Nov 2024
Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data Ayush Singla Shakson Isaac Chirag J. Patel MedIm 116 0 0 19 Nov 2024
DEBUG-HD: Debugging TinyML models on-device using Hyper-Dimensional computing Nikhil P Ghanathe Steven J E Wilton 71 0 0 16 Nov 2024
Establishing and Evaluating Trustworthy AI: Overview and Research Challenges Dominik Kowald S. Scher Viktoria Pammer-Schindler Peter Müllner Kerstin Waxnegger ... Andreas Truegler Eduardo E. Veas Roman Kern Tomislav Nad Simone Kopeinik 70 4 0 15 Nov 2024
Investigating the Effectiveness of Explainability Methods in Parkinson's Detection from Speech Eleonora Mancini Francesco Paissan Paolo Torroni Mirco Ravanelli Cem Subakan 83 2 0 12 Nov 2024
A Survey on Adversarial Machine Learning for Code Data: Realistic Threats, Countermeasures, and Interpretations Yulong Yang Haoran Fan Chenhao Lin Qian Li Zhengyu Zhao Chao Shen Xiaohong Guan AAML 80 0 0 12 Nov 2024
Multi-Modal interpretable automatic video captioning Antoine Hanna-Asaad Decky Aspandi Titus Zaharia 67 0 0 11 Nov 2024
LA4SR: illuminating the dark proteome with generative AI David R. Nelson Ashish Kumar Jaiswal Noha Ismail Alexandra Mystikou Kourosh Salehi-Ashtiani 43 0 0 11 Nov 2024
Concept Bottleneck Language Models For protein design Aya Abdelsalam Ismail Tuomas Oikarinen Amy Wang Julius Adebayo Samuel Stanton ... J. Kleinhenz Allen Goodman H. C. Bravo Kyunghyun Cho Nathan C. Frey 116 6 0 09 Nov 2024
GUIDEQ: Framework for Guided Questioning for progressive informational collection and classification Priya Mishra Suraj Racha Kaustubh Ponkshe Adit Akarsh Ganesh Ramakrishnan 103 0 0 08 Nov 2024
Pruning Literals for Highly Efficient Explainability at Word Level Rohan Kumar Yadav Bimal Bhattarai Abhik Jana Lei Jiao Seid Muhie Yimam 61 0 0 07 Nov 2024
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review Luis M. Lopez-Ramos Florian Leiser Aditya Rastogi Steven Hicks Inga Strümke V. Madai Tobias Budig Ali Sunyaev A. Hilbert 246 3 0 07 Nov 2024
Local vs distributed representations: What is the right basis for interpretability? Julien Colin L. Goetschalckx Thomas Fel Victor Boutin Jay Gopal Thomas Serre Nuria Oliver HAI 89 2 0 06 Nov 2024