Anomaly Detection based on Zero-Shot Outlier Synthesis and Hierarchical Feature Distillation

10 October 2020

Papers citing "Anomaly Detection based on Zero-Shot Outlier Synthesis and Hierarchical Feature Distillation"

7 / 7 papers shown

Title
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation Shuang Zhou Xiao Shi Huang Ninghao Liu Huachi Zhou F. Chung Longhai Huang 138 26 0 18 Jun 2023
What augmentations are sensitive to hyper-parameters and why? Ch Muhammad Awais I. E. I. Bekkouch AAML 34 1 0 06 Nov 2021
Adversarial Stacked Auto-Encoders for Fair Representation Learning Patrik Kenfack Adil Khan Rasheed Hussain S. M. Ahsan Kazmi FaML 29 4 0 27 Jul 2021
Analyzing the effectiveness of image augmentations for face recognition from limited data A. Zhuchkov CVBM 28 3 0 18 May 2021
Deep Learning Models in Software Requirements Engineering Maria Naumcheva 69 5 0 17 May 2021
Class-incremental Learning using a Sequence of Partial Implicitly Regularized Classifiers Sobirdzhon Bobiev Adil Khan S. M. Ahsan Kazmi CLL 19 0 0 04 Apr 2021
On the Fairness of Generative Adversarial Networks (GANs) Patrik Kenfack Daniil Dmitrievich Arapovy Rasheed Hussain S. M. Ahsan Kazmi A. Khan GAN 72 23 0 01 Mar 2021