Coalitional Bayesian Autoencoders -- Towards explainable unsupervised deep learning

19 October 2021

Papers citing "Coalitional Bayesian Autoencoders -- Towards explainable unsupervised deep learning"

28 / 28 papers shown

Title
Bayesian Autoencoders: Analysing and Fixing the Bernoulli likelihood for Out-of-Distribution Detection Bang Xiang Yong Tim Pearce Alexandra Brintrup OODD UQCV 65 6 0 28 Jul 2021
Multi Agent System for Machine Learning Under Uncertainty in Cyber Physical Manufacturing System Bang Xiang Yong Alexandra Brintrup AI4CE 59 20 0 28 Jul 2021
Bayesian Autoencoders for Drift Detection in Industrial Environments Bang Xiang Yong Yasmin Fathy Alexandra Brintrup UQCV 58 8 0 28 Jul 2021
Process Outcome Prediction: CNN vs. LSTM (with Attention) Hans Weytjens Jochen De Weerdt AI4TS 57 44 0 14 Apr 2021
Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series Vincent Jacob Fei Song Arnaud Stiegler Bijan Rad Y. Diao Nesime Tatbul AI4TS 55 68 0 10 Oct 2020
A Unifying Review of Deep and Shallow Anomaly Detection Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen G. Montavon Wojciech Samek Marius Kloft Thomas G. Dietterich Klaus-Robert Muller UQCV 117 800 0 24 Sep 2020
Deep Learning for Anomaly Detection: A Review Guansong Pang Chunhua Shen LongBing Cao Anton Van Den Hengel 184 925 0 06 Jul 2020
Explainable Deep One-Class Classification Philipp Liznerski Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Marius Kloft Klaus-Robert Muller 57 199 0 03 Jul 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 121 6,269 0 22 Oct 2019
Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing En Li Liekang Zeng Zhi Zhou Xu Chen 52 628 0 04 Oct 2019
Quality of Uncertainty Quantification for Bayesian Neural Network Inference Jiayu Yao Weiwei Pan S. Ghosh Finale Doshi-Velez UQCV BDL 179 113 0 24 Jun 2019
GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection Q. Nguyen Kar Wai Lim D. Divakaran K. H. Low M. Chan DRL 47 136 0 15 Mar 2019
Explaining Anomalies Detected by Autoencoders Using SHAP Liat Antwarg Ronnie Mindlin Miller Bracha Shapira Lior Rokach FAtt TDI 62 86 0 06 Mar 2019
On the (In)fidelity and Sensitivity for Explanations Chih-Kuan Yeh Cheng-Yu Hsieh A. Suggala David I. Inouye Pradeep Ravikumar FAtt 75 453 0 27 Jan 2019
Machine Learning and Deep Learning Algorithms for Bearing Fault Diagnostics -- A Comprehensive Review Shen Zhang Shibo Zhang Bingnan Wang T. Habetler 35 256 0 24 Jan 2019
Uncertainty in Neural Networks: Approximately Bayesian Ensembling Tim Pearce Felix Leibfried Alexandra Brintrup Mohamed H. Zaki A. Neely BDL UQCV 62 197 0 12 Oct 2018
Deep learning for time series classification: a review Hassan Ismail Fawaz Germain Forestier J. Weber L. Idoumghar Pierre-Alain Muller AI4TS AI4CE 320 2,698 0 12 Sep 2018
A Benchmark for Interpretability Methods in Deep Neural Networks Sara Hooker D. Erhan Pieter-Jan Kindermans Been Kim FAtt UQCV 108 682 0 28 Jun 2018
Instance Selection Improves Geometric Mean Accuracy: A Study on Imbalanced Data Classification L. Kuncheva Álvar Arnaiz-González J. Díez-Pastor Iain A. D. Gunn 28 63 0 19 Apr 2018
Interpretation of Neural Networks is Fragile Amirata Ghorbani Abubakar Abid James Zou FAtt AAML 133 867 0 29 Oct 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 21,939 0 22 May 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 201 3,873 0 10 Apr 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 188 5,989 0 04 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 840 5,821 0 05 Dec 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,990 0 16 Feb 2016
Cyclical Learning Rates for Training Neural Networks L. Smith ODL 210 2,529 0 03 Jun 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 326 18,625 0 06 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014