Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a
Scalable Hyper-Ensemble Solution

Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution

15 June 2022

Xueying Ding

Papers citing "Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution"

5 / 5 papers shown

Title
End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection Jaemin Yoo Lingxiao Zhao L. Akoglu 30 4 0 21 Jun 2023
Hyperparameter Optimization for Unsupervised Outlier Detection Yue Zhao L. Akoglu 27 1 0 24 Aug 2022
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 141 684 0 31 Jan 2021
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 267 1,944 0 09 Jun 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016