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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
On genuine invariance learning without weight-tying A. Moskalev A. Sepliarskaia Erik J. Bekkers A. Smeulders CML OOD 67 9 0 07 Aug 2023
Precise Benchmarking of Explainable AI Attribution Methods Rafael Brandt Daan Raatjens G. Gaydadjiev XAI 67 4 0 06 Aug 2023
Explainable Deep Learning-based Solar Flare Prediction with post hoc Attention for Operational Forecasting Chetraj Pandey R. Angryk M. Georgoulis Berkay Aydin 47 6 0 04 Aug 2023
Explaining Relation Classification Models with Semantic Extents Lars Klöser André Büsgen Philipp Kohl Bodo Kraft Albert Zündorf 37 0 0 04 Aug 2023
Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images Alessandro Fontanella Grant Mair Joanna M. Wardlaw Emanuele Trucco Amos Storkey DiffM MedIm 95 25 0 03 Aug 2023
Evaluating Link Prediction Explanations for Graph Neural Networks Claudio Borile Alan Perotti Andre' Panisson FAtt 68 2 0 03 Aug 2023
Multimodal Neurons in Pretrained Text-Only Transformers Sarah Schwettmann Neil Chowdhury Samuel J. Klein David Bau Antonio Torralba MILM 92 32 0 03 Aug 2023
Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers Alan Perotti Simone Bertolotto Eliana Pastor Andre' Panisson 64 4 0 01 Aug 2023
Deep Learning and Computer Vision for Glaucoma Detection: A Review Mona Ashtari-Majlan Mohammad Mahdi Dehshibi David Masip 74 11 0 31 Jul 2023
Explaining Full-disk Deep Learning Model for Solar Flare Prediction using Attribution Methods Chetraj Pandey R. Angryk Berkay Aydin FAtt 53 10 0 29 Jul 2023
Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples Andrew H. Song Mane Williams Drew F. K. Williamson Guillaume Jaume Andrew Zhang ... R. Serafin Jonathan T. C. Liu Alexander S. Baras Anil V. Parwani Faisal Mahmood 43 6 0 27 Jul 2023
Simplified Concrete Dropout -- Improving the Generation of Attribution Masks for Fine-grained Classification D. Korsch M. Shadaydeh Joachim Denzler 99 1 0 27 Jul 2023
MAEA: Multimodal Attribution for Embodied AI Vidhi Jain Jayant Sravan Tamarapalli Sahiti Yerramilli Yonatan Bisk 108 0 0 25 Jul 2023
Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case Swastika Roy Hatim Chergui C. Verikoukis 69 10 0 24 Jul 2023
Gradient-Based Word Substitution for Obstinate Adversarial Examples Generation in Language Models Yimu Wang Peng Shi Hongyang Zhang SILM 33 3 0 24 Jul 2023
CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models Xingbo Wang Renfei Huang Zhihua Jin Tianqing Fang Huamin Qu VLM ReLM LRM 124 2 0 23 Jul 2023
Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations? Susu Sun Lisa M. Koch Christian F. Baumgartner 103 16 0 23 Jul 2023
Risk-optimized Outlier Removal for Robust 3D Point Cloud Classification Xinke Li Junchi Lu Henghui Ding Changsheng Sun Qiufeng Wang Chee Yeow Meng 3DPC 93 6 0 20 Jul 2023
Efficient Unified Demosaicing for Bayer and Non-Bayer Patterned Image Sensors Haechang Lee Dongwon Park Wongi Jeong Kijeong Kim Hyunwoo Je Dongil Ryu S. Chun 79 9 0 20 Jul 2023
TbExplain: A Text-based Explanation Method for Scene Classification Models with the Statistical Prediction Correction Amirhossein Aminimehr Pouya Khani Amir Molaei Amirmohammad Kazemeini Min Zhang FAtt 96 5 0 19 Jul 2023
Beyond Single-Feature Importance with ICECREAM M.-J. Oesterle Patrick Blobaum Atalanti A. Mastakouri Elke Kirschbaum CML 106 1 0 19 Jul 2023
What's meant by explainable model: A Scoping Review Mallika Mainali Rosina O. Weber XAI 61 0 0 18 Jul 2023
Saliency strikes back: How filtering out high frequencies improves white-box explanations Sabine Muzellec Thomas Fel Victor Boutin Léo Andéol R. V. Rullen Thomas Serre FAtt 73 1 0 18 Jul 2023
Automating Wood Species Detection and Classification in Microscopic Images of Fibrous Materials with Deep Learning Lars Nieradzik Jördis Sieburg-Rockel Stephanie Helmling J. Keuper Thomas Weibel Andrea Olbrich Henrike Stephani 74 6 0 18 Jul 2023
DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRI H. Bedel Tolga Çukur DiffM MedIm 95 29 0 18 Jul 2023
Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing Swastika Roy Hatim Chergui C. Verikoukis FedML 66 3 0 18 Jul 2023
Runtime Stealthy Perception Attacks against DNN-based Adaptive Cruise Control Systems Xugui Zhou Anqi Chen Maxfield Kouzel Haotian Ren Morgan McCarty Cristina Nita-Rotaru H. Alemzadeh AAML 104 2 0 18 Jul 2023
HOPE: High-order Polynomial Expansion of Black-box Neural Networks Tingxiong Xiao Weihang Zhang Yuxiao Cheng J. Suo 62 3 0 17 Jul 2023
Visual Explanations with Attributions and Counterfactuals on Time Series Classification U. Schlegel Daniela Oelke Daniel A. Keim Mennatallah El-Assady AI4TS FAtt 95 4 0 14 Jul 2023
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations Emanuele Albini Shubham Sharma Saumitra Mishra Danial Dervovic Daniele Magazzeni FAtt 81 2 0 13 Jul 2023
Is Task-Agnostic Explainable AI a Myth? Alicja Chaszczewicz 57 2 0 13 Jul 2023
Stability Guarantees for Feature Attributions with Multiplicative Smoothing Anton Xue Rajeev Alur Eric Wong 120 6 0 12 Jul 2023
A Deep Dive into Perturbations as Evaluation Technique for Time Series XAI U. Schlegel Daniel A. Keim AAML AI4TS 108 9 0 11 Jul 2023
Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps Fuxiao Liu Paiheng Xu Zongxi Li Yue Feng Hyemi Song 116 35 0 11 Jul 2023
Impact of Feature Encoding on Malware Classification Explainability E. Manai M. Mejri Jaouhar Fattahi 58 1 0 10 Jul 2023
Robust Ranking Explanations Chao Chen Chenghua Guo Guixiang Ma Ming Zeng Xi Zhang Sihong Xie FAtt AAML 107 0 0 08 Jul 2023
Multi-Intent Detection in User Provided Annotations for Programming by Examples Systems Nischal Ashok Kumar Nikhil Gupta Shanmukha C. Guttula Hima Patel 28 0 0 08 Jul 2023
Exploring the Lottery Ticket Hypothesis with Explainability Methods: Insights into Sparse Network Performance Shantanu Ghosh Kayhan Batmanghelich 67 0 0 07 Jul 2023
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat Shantanu Ghosh K. Yu Forough Arabshahi Kayhan Batmanghelich MoE 70 14 0 07 Jul 2023
When Fair Classification Meets Noisy Protected Attributes Avijit Ghosh Pablo Kvitca Chris L. Wilson FaML 62 9 0 06 Jul 2023
A Vulnerability of Attribution Methods Using Pre-Softmax Scores Miguel A. Lerma Mirtha Lucas FAtt 58 0 0 06 Jul 2023
Quantification of Uncertainty with Adversarial Models Kajetan Schweighofer L. Aichberger Mykyta Ielanskyi Günter Klambauer Sepp Hochreiter UQCV 90 17 0 06 Jul 2023
Generalizing Backpropagation for Gradient-Based Interpretability Kevin Du Lucas Torroba Hennigen Niklas Stoehr Alex Warstadt Ryan Cotterell MILM FAtt 82 7 0 06 Jul 2023
Harmonizing Feature Attributions Across Deep Learning Architectures: Enhancing Interpretability and Consistency Md Abdul Kadir G. Addluri Daniel Sonntag FAtt 57 1 0 05 Jul 2023
DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications Adam Ivankay Mattia Rigotti P. Frossard OOD MedIm 72 1 0 05 Jul 2023
Learning ECG signal features without backpropagation Péter Pósfay M. T. Kurbucz Péter Kovács Antal Jakovác SSL AI4TS 53 1 0 04 Jul 2023
Concept-Based Explanations to Test for False Causal Relationships Learned by Abusive Language Classifiers I. Nejadgholi S. Kiritchenko Kathleen C. Fraser Esma Balkir 48 0 0 04 Jul 2023
Interpretable Computer Vision Models through Adversarial Training: Unveiling the Robustness-Interpretability Connection Delyan Boychev AAML 80 1 0 04 Jul 2023
Mitigating Bias: Enhancing Image Classification by Improving Model Explanations Raha Ahmadi Mohammad Javad Rajabi Mohammad Khalooiem Mohammad Sabokrou 64 0 0 04 Jul 2023
Fighting the disagreement in Explainable Machine Learning with consensus A. Banegas-Luna Carlos Martínez-Cortés H. Sánchez FaML 43 1 0 03 Jul 2023