Axiomatic Attribution for Deep Networks

4 March 2017

Ankur Taly

Papers citing "Axiomatic Attribution for Deep Networks"

50 / 2,826 papers shown

Title
Explanation sensitivity to the randomness of large language models: the case of journalistic text classification Jérémie Bogaert Marie-Catherine de Marneffe Antonin Descampe Louis Escouflaire Cedrick Fairon François-Xavier Standaert 24 1 0 07 Oct 2024
Evaluating the Correctness of Inference Patterns Used by LLMs for Judgment Lu Chen Yuxuan Huang Yixing Li Dongrui Liu Qihan Ren Shuai Zhao Kun Kuang Zilong Zheng Quanshi Zhang 36 1 0 06 Oct 2024
Riemann Sum Optimization for Accurate Integrated Gradients Computation Swadesh Swain Shree Singhi 28 0 0 05 Oct 2024
Understanding the Effect of Algorithm Transparency of Model Explanations in Text-to-SQL Semantic Parsing Daking Rai Rydia R. Weiland Kayla Margaret Gabriella Herrera Tyler H. Shaw Ziyu Yao 41 1 0 05 Oct 2024
Disentangling Textual and Acoustic Features of Neural Speech Representations Hosein Mohebbi Grzegorz Chrupała Willem H. Zuidema A. Alishahi Ivan Titov CoGe 31 0 0 03 Oct 2024
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI Xu Zheng Farhad Shirani Zhuomin Chen Chaohao Lin Wei Cheng Wenbo Guo Dongsheng Luo AAML 38 0 0 03 Oct 2024
Explainable Earth Surface Forecasting under Extreme Events Oscar J. Pellicer-Valero Miguel-Ángel Fernández-Torres Chaonan Ji Miguel D. Mahecha Gustau Camps-Valls 23 0 0 02 Oct 2024
Learning-Augmented Robust Algorithmic Recourse Kshitij Kayastha Vasilis Gkatzelis Shahin Jabbari 39 0 0 02 Oct 2024
One Wave to Explain Them All: A Unifying Perspective on Post-hoc Explainability Gabriel Kasmi Amandine Brunetto Thomas Fel Jayneel Parekh AAML FAtt 35 0 0 02 Oct 2024
Mitigating Copy Bias in In-Context Learning through Neuron Pruning Ameen Ali Lior Wolf Ivan Titov 46 2 0 02 Oct 2024
"No Matter What You Do": Purifying GNN Models via Backdoor Unlearning Jiale Zhang Chengcheng Zhu Bosen Rao Hao Sui Xiaobing Sun Bing Chen Chunyi Zhou Shouling Ji AAML 40 0 0 02 Oct 2024
Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves Alessandro Lovo Amaury Lancelin Corentin Herbert Freddy Bouchet AI4CE 32 0 0 01 Oct 2024
Best Practices for Responsible Machine Learning in Credit Scoring Giovani Valdrighi Athyrson M. Ribeiro Jansen S. B. Pereira Vitoria Guardieiro Arthur Hendricks ... Juan David Nieto Garcia Felipe F. Bocca Thalita B. Veronese Lucas Wanner Marcos Medeiros Raimundo FaML 37 0 0 30 Sep 2024
Sufficient and Necessary Explanations (and What Lies in Between) Beepul Bharti P. Yi Jeremias Sulam XAI FAtt 35 1 0 30 Sep 2024
Restore Anything with Masks: Leveraging Mask Image Modeling for Blind All-in-One Image Restoration Chu-Jie Qin Rui-Qi Wu Zikun Liu Xin Lin Chun-Le Guo Hyun Hee Park Chongyi Li 31 6 0 28 Sep 2024
Faithfulness and the Notion of Adversarial Sensitivity in NLP Explanations Supriya Manna Niladri Sett AAML 31 2 0 26 Sep 2024
Recent advances in interpretable machine learning using structure-based protein representations L. Vecchietti Minji Lee Begench Hangeldiyev Hyunkyu Jung Hahnbeom Park Tae-Kyun Kim Meeyoung Cha Ho Min Kim AI4CE 45 1 0 26 Sep 2024
The Overfocusing Bias of Convolutional Neural Networks: A Saliency-Guided Regularization Approach David Bertoin Eduardo Hugo Sanchez Mehdi Zouitine Emmanuel Rachelson 45 0 0 25 Sep 2024
Towards User-Focused Research in Training Data Attribution for Human-Centered Explainable AI Elisa Nguyen Johannes Bertram Evgenii Kortukov Jean Y. Song Seong Joon Oh TDI 385 2 0 25 Sep 2024
Enhancing Feature Selection and Interpretability in AI Regression Tasks Through Feature Attribution Alexander Hinterleitner T. Bartz-Beielstein Richard Schulz Sebastian Spengler Thomas Winter Christoph Leitenmeier 34 1 0 25 Sep 2024
Leveraging Local Structure for Improving Model Explanations: An Information Propagation Approach Ruo Yang Binghui Wang M. Bilgic FAtt 21 0 0 24 Sep 2024
Creating Healthy Friction: Determining Stakeholder Requirements of Job Recommendation Explanations Roan Schellingerhout Francesco Barile Nava Tintarev 34 1 0 24 Sep 2024
Facing Asymmetry -- Uncovering the Causal Link between Facial Symmetry and Expression Classifiers using Synthetic Interventions Tim Buchner Niklas Penzel Orlando Guntinas-Lichius Joachim Denzler CVBM 43 2 0 24 Sep 2024
GATher: Graph Attention Based Predictions of Gene-Disease Links David Narganes-Carlon Anniek Myatt Mani Mudaliar Daniel J. Crowther 42 0 0 23 Sep 2024
VLM's Eye Examination: Instruct and Inspect Visual Competency of Vision Language Models Nam Hyeon-Woo Moon Ye-Bin Wonseok Choi Lee Hyun Tae-Hyun Oh CoGe 28 3 0 23 Sep 2024
Explainable AI needs formal notions of explanation correctness Stefan Haufe Rick Wilming Benedict Clark Rustam Zhumagambetov Danny Panknin Ahcène Boubekki XAI 35 1 0 22 Sep 2024
A is for Absorption: Studying Feature Splitting and Absorption in Sparse Autoencoders David Chanin James Wilken-Smith Tomáš Dulka Hardik Bhatnagar Joseph Bloom 23 21 0 22 Sep 2024
Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis Zeping Yu Sophia Ananiadou LRM MILM 32 7 0 21 Sep 2024
The FIX Benchmark: Extracting Features Interpretable to eXperts Helen Jin Shreya Havaldar Chaehyeon Kim Anton Xue Weiqiu You ... Bhuvnesh Jain Amin Madani M. Sako Lyle Ungar Eric Wong 31 1 0 20 Sep 2024
Efficient Knowledge Distillation: Empowering Small Language Models with Teacher Model Insights Mohamad Ballout U. Krumnack Gunther Heidemann Kai-Uwe Kühnberger 35 2 0 19 Sep 2024
Measuring Sound Symbolism in Audio-visual Models Wei-Cheng Tseng Yi-Jen Shih David Harwath Raymond Mooney 39 0 0 18 Sep 2024
Additive-feature-attribution methods: a review on explainable artificial intelligence for fluid dynamics and heat transfer Andres Cremades S. Hoyas Ricardo Vinuesa FAtt 31 9 0 18 Sep 2024
Gradient-free Post-hoc Explainability Using Distillation Aided Learnable Approach Debarpan Bhattacharya A. H. Poorjam Deepak Mittal Sriram Ganapathy 32 0 0 17 Sep 2024
Trustworthy Conceptual Explanations for Neural Networks in Robot Decision-Making Som Sagar Aditya Taparia Harsh Mankodiya Pranav M Bidare Yifan Zhou Ransalu Senanayake FAtt 34 0 0 16 Sep 2024
Trustworthiness in Retrieval-Augmented Generation Systems: A Survey Yujia Zhou Yan Liu Xiaoxi Li Jiajie Jin Hongjin Qian Zheng Liu Chaozhuo Li Zhicheng Dou Tsung-Yi Ho Philip S. Yu 3DV RALM 60 28 0 16 Sep 2024
Optimal ablation for interpretability Maximilian Li Lucas Janson FAtt 51 2 0 16 Sep 2024
InfoDisent: Explainability of Image Classification Models by Information Disentanglement Łukasz Struski Dawid Rymarczyk Jacek Tabor 59 1 0 16 Sep 2024
Integrated Multi-Level Knowledge Distillation for Enhanced Speaker Verification Wenhao Yang Jianguo Wei Wenhuan Lu Xugang Lu Lei Li 33 0 0 14 Sep 2024
XSub: Explanation-Driven Adversarial Attack against Blackbox Classifiers via Feature Substitution Kiana Vu Phung Lai Truc D. T. Nguyen AAML 36 0 0 13 Sep 2024
LMAC-TD: Producing Time Domain Explanations for Audio Classifiers Eleonora Mancini Francesco Paissan Mirco Ravanelli Cem Subakan 31 1 0 13 Sep 2024
Y-Drop: A Conductance based Dropout for fully connected layers Efthymios Georgiou Georgios Paraskevopoulos Alexandros Potamianos 13 0 0 11 Sep 2024
ELMS: Elasticized Large Language Models On Mobile Devices Wangsong Yin Rongjie Yi Daliang Xu Gang Huang Mengwei Xu Xuanzhe Liu 37 5 0 08 Sep 2024
You can remove GPT2's LayerNorm by fine-tuning Stefan Heimersheim AI4CE 19 3 0 06 Sep 2024
Visualizing Spatial Semantics of Dimensionally Reduced Text Embeddings Wei Liu Chris North Rebecca Faust 33 0 0 06 Sep 2024
Decompose the model: Mechanistic interpretability in image models with Generalized Integrated Gradients (GIG) Yearim Kim Sangyu Han Sangbum Han Nojun Kwak 60 0 0 03 Sep 2024
Explanation Space: A New Perspective into Time Series Interpretability Shahbaz Rezaei Xin Liu AI4TS 34 1 0 02 Sep 2024
Towards Symbolic XAI -- Explanation Through Human Understandable Logical Relationships Between Features Thomas Schnake Farnoush Rezaei Jafaria Jonas Lederer Ping Xiong Shinichi Nakajima Stefan Gugler G. Montavon Klaus-Robert Müller 48 4 0 30 Aug 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 83 28 0 30 Aug 2024
IBO: Inpainting-Based Occlusion to Enhance Explainable Artificial Intelligence Evaluation in Histopathology Pardis Afshar Sajjad Hashembeiki Pouya Khani Emad Fatemizadeh M. Rohban 34 4 0 29 Aug 2024
ClimDetect: A Benchmark Dataset for Climate Change Detection and Attribution Sungduk Yu Brian L. White Anahita Bhiwandiwalla Musashi Hinck M. L. Olson Tung Nguyen Vasudev Lal Tung Nguyen Vasudev Lal 42 0 0 28 Aug 2024