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A Unified Approach to Interpreting Model Predictions

22 May 2017

Papers citing "A Unified Approach to Interpreting Model Predictions"

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Title
DSVAE: Interpretable Disentangled Representation for Synthetic Speech Detection Amit Kumar Singh Yadav Kratika Bhagtani Ziyue Xiang Paolo Bestagini Stefano Tubaro Edward J. Delp DRL 68 6 0 06 Apr 2023
ViralVectors: Compact and Scalable Alignment-free Virome Feature Generation Sarwan Ali Prakash Chourasia Z. Tayebi B. Bello Murray Patterson 77 6 0 06 Apr 2023
Inapproximability of sufficient reasons for decision trees Alexander Kozachinskiy 56 0 0 05 Apr 2023
ECG Feature Importance Rankings: Cardiologists vs. Algorithms Temesgen Mehari A. Sundar A. Bošnjaković P. Harris Steven E. Williams A. Loewe O. Doessel C. Nagel Nils Strodthoff Philip Aston 36 6 0 05 Apr 2023
A step towards the applicability of algorithms based on invariant causal learning on observational data Borja Guerrero Santillan CML OOD 52 1 0 05 Apr 2023
A Brief Review of Explainable Artificial Intelligence in Healthcare Zahra Sadeghi R. Alizadehsani M. Cifci Samina Kausar Rizwan Rehman ... A. Shoeibi H. Moosaei Milan Hladík Saeid Nahavandi P. Pardalos 31 14 0 04 Apr 2023
Shapley Chains: Extending Shapley Values to Classifier Chains CE Ayad Thomas Bonnier Benjamin Bosch Jesse Read FAtt TDI 72 2 0 30 Mar 2023
A Machine Learning Approach to Forecasting Honey Production with Tree-Based Methods Alessio Brini E. Giovannini Elia Smaniotto 72 2 0 30 Mar 2023
Visually Wired NFTs: Exploring the Role of Inspiration in Non-Fungible Tokens Lucio La Cava Davide Costa Andrea Tagarelli 86 7 0 29 Mar 2023
A Survey on Malware Detection with Graph Representation Learning Tristan Bilot Nour El Madhoun Khaldoun Al Agha Anis Zouaoui AAML 94 28 0 28 Mar 2023
Explain, Adapt and Retrain: How to improve the accuracy of a PPM classifier through different explanation styles Williams Rizzi Chiara Di Francescomarino Chiara Ghidini F. Maggi 68 0 0 27 Mar 2023
LEURN: Learning Explainable Univariate Rules with Neural Networks Çağlar Aytekin FAtt 62 0 0 27 Mar 2023
Explainable Artificial Intelligence Architecture for Melanoma Diagnosis Using Indicator Localization and Self-Supervised Learning Ruitong Sun Mohammad Rostami 48 2 0 26 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
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 80 1 0 24 Mar 2023
Adversarial Robustness and Feature Impact Analysis for Driver Drowsiness Detection João Vitorino Lourencco Rodrigues Eva Maia Isabel Praça André Lourencco AAML 79 0 0 23 Mar 2023
A dynamic risk score for early prediction of cardiogenic shock using machine learning Yuxuan Hu Albert Y Lui M. Goldstein Mukund Sudarshan Andrea Tinsay ... G. Fishman J. Hochman S. Katz S. Bernard Rajesh Ranganath 61 2 0 22 Mar 2023
Posthoc Interpretation via Quantization Francesco Paissan Cem Subakan Mirco Ravanelli MQ 110 7 0 22 Mar 2023
Do intermediate feature coalitions aid explainability of black-box models? M. Patil Kary Främling 38 0 0 21 Mar 2023
Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion Kamil Adamczewski Daniel Gehrig Vaishakh Patil Luc Van Gool 47 1 0 21 Mar 2023
Deep trip generation with graph neural networks for bike sharing system expansion Yuebing Liang Fangyi Ding Guan Huang Zhan Zhao AI4TS 63 19 0 20 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 27 2 0 19 Mar 2023
Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks Yilun Zhou 67 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 37 0 16 Mar 2023
Visual Analytics of Multivariate Networks with Representation Learning and Composite Variable Construction Hsiao-Ying Lu Takanori Fujiwara Ming-Yi Chang Yang-chih Fu Anders Ynnerman Kwan-Liu Ma CML 76 3 0 16 Mar 2023
Contextual Trust Ryan Kearns 38 1 0 15 Mar 2023
Neuro-symbolic Commonsense Social Reasoning David Chanin Anthony Hunter NAI LRM 61 3 0 14 Mar 2023
AnoMalNet: Outlier Detection based Malaria Cell Image Classification Method Leveraging Deep Autoencoder A. Huq Md. Tanzim Reza Shahriar Hossain Shakib Mahmud Dipto 30 2 0 10 Mar 2023
A Categorical Framework of General Intelligence Yang Yuan 87 2 0 08 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
Interpretable Architecture Neural Networks for Function Visualization Shengtong Zhang D. Apley 69 2 0 03 Mar 2023
DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction Zhijie Wang Yuheng Huang Basel Alomair Lei Ma Tianyi Zhang HAI 107 7 0 02 Mar 2023
Safe AI for health and beyond -- Monitoring to transform a health service Mahed Abroshan Michael C. Burkhart Oscar Giles Sam F. Greenbury Zoe Kourtzi Jack Roberts M. Schaar Jannetta S. Steyn Alan Wilson M. Yong 52 1 0 02 Mar 2023
A Notion of Feature Importance by Decorrelation and Detection of Trends by Random Forest Regression Yannick Gerstorfer Lena Krieg Max Hahn-Klimroth 44 8 0 02 Mar 2023
SpeechPrompt v2: Prompt Tuning for Speech Classification Tasks Kai-Wei Chang Yu-Kai Wang Hua Shen Iu-thing Kang Wei-Cheng Tseng Shang-Wen Li Hung-yi Lee VLM 88 46 0 01 Mar 2023
Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals Susu Sun S. Woerner Andreas Maier Lisa M. Koch Christian F. Baumgartner FAtt 98 17 0 01 Mar 2023
Enhancing Vulnerability Prioritization: Data-Driven Exploit Predictions with Community-Driven Insights Jay Jacobs Sasha Romanosky Octavian Suciuo Benjamin Edwards Armin Sarabi 46 22 0 27 Feb 2023
Analyzing Impact of Socio-Economic Factors on COVID-19 Mortality Prediction Using SHAP Value Redoan Rahman Jooyeon Kang Justin F. Rousseau Ying Ding 20 2 0 27 Feb 2023
Explanations for Automatic Speech Recognition Xiao-lan Wu P. Bell A. Rajan 86 7 0 27 Feb 2023
Does a Neural Network Really Encode Symbolic Concepts? Mingjie Li Quanshi Zhang 98 31 0 25 Feb 2023
Does Noise Affect Housing Prices? A Case Study in the Urban Area of Thessaloniki Georgios Kamtziridis D. Vrakas Grigorios Tsoumakas 14 2 0 25 Feb 2023
Machine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches Alexandros Palaios Christian L. Vielhaus D. Külzer Cara Watermann Rodrigo Hernangómez ... Martin Kasparick G. Fettweis F. Fitzek Hans D. Schotten Sławomir Stańczak 66 13 0 23 Feb 2023
The Generalizability of Explanations Hanxiao Tan FAtt 54 1 0 23 Feb 2023
FederatedTrust: A Solution for Trustworthy Federated Learning Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Ning Xie Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller 86 24 0 20 Feb 2023
Interpret Your Care: Predicting the Evolution of Symptoms for Cancer Patients R. Bhati Jennifer Jones Audrey Durand 13 1 0 19 Feb 2023
Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics Nihal Murali A. Puli Ke Yu Rajesh Ranganath Kayhan Batmanghelich AAML 84 10 0 18 Feb 2023
Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions Manish Nagireddy Moninder Singh Samuel C. Hoffman Evaline Ju Karthikeyan N. Ramamurthy Kush R. Varshney 93 1 0 17 Feb 2023
Less is More: The Influence of Pruning on the Explainability of CNNs David Weber F. Merkle Pascal Schöttle Stephan Schlögl Martin Nocker FAtt 200 1 0 17 Feb 2023
On marginal feature attributions of tree-based models Khashayar Filom A. Miroshnikov Konstandinos Kotsiopoulos Arjun Ravi Kannan FAtt 76 3 0 16 Feb 2023