Generative Probabilistic Novelty Detection with Adversarial Autoencoders

6 July 2018

Papers citing "Generative Probabilistic Novelty Detection with Adversarial Autoencoders"

30 / 30 papers shown

Title
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey Ruiyao Xu Kaize Ding 57 5 0 17 Feb 2025
Matching aggregate posteriors in the variational autoencoder Surojit Saha Sarang Joshi Ross T. Whitaker DRL 29 4 0 13 Nov 2023
GRAM: An Interpretable Approach for Graph Anomaly Detection using Gradient Attention Maps Yifei Yang Peng Wang Xiaofan He Dongmian Zou 14 5 0 10 Nov 2023
Attribute Regularized Soft Introspective VAE: Towards Cardiac Attribute Regularization Through MRI Domains Maxime Di Folco Cosmin I. Bercea J. Schnabel 22 0 0 24 Jul 2023
On the Connection of Generative Models and Discriminative Models for Anomaly Detection Jingxuan Pang Chunguang Li 23 0 0 16 Nov 2022
Is Out-of-Distribution Detection Learnable? Zhen Fang Yixuan Li Jie Lu Jiahua Dong Bo Han Feng Liu OODD 30 122 0 26 Oct 2022
GAPX: Generalized Autoregressive Paraphrase-Identification X Yi Zhou Renyu Li Hayden Housen Ser-Nam Lim BDL 27 0 0 05 Oct 2022
Out-of-Distribution Detection with Semantic Mismatch under Masking Yijun Yang Ruiyuan Gao Qiang Xu OODD 14 27 0 31 Jul 2022
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection Umar Khalid Ashkan Esmaeili Nazmul Karim Nazanin Rahnavard OODD 37 12 0 06 Apr 2022
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection Mohamed Yousef Marcel R. Ackermann Unmesh Kurup Tom E. Bishop OODD OOD 26 3 0 19 Mar 2022
Keeping Deep Lithography Simulators Updated: Global-Local Shape-Based Novelty Detection and Active Learning Hao-Chiang Shao Hsing-Lei Ping Kuo-shiuan Chen Weng-Tai Su Chia-Wen Lin Shao-Yun Fang Pin-Yian Tsai Yan-Hsiu Liu 30 7 0 24 Jan 2022
Classifying Turbulent Environments via Machine Learning M. Buzzicotti F. Bonaccorso 18 0 0 03 Jan 2022
Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination Jongmin Yu Hyeontaek Oh Minkyung Kim Junsik Kim 19 10 0 28 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 875 0 21 Oct 2021
Offline Reinforcement Learning as Anti-Exploration Shideh Rezaeifar Robert Dadashi Nino Vieillard Léonard Hussenot Olivier Bachem Olivier Pietquin M. Geist OffRL 32 51 0 11 Jun 2021
Fair Normalizing Flows Mislav Balunović Anian Ruoss Martin Vechev AAML 13 36 0 10 Jun 2021
Autoencoding Under Normalization Constraints Sangwoong Yoon Yung-Kyun Noh Frank C. Park OODD UQCV 27 38 0 12 May 2021
Towards Open World Object Detection K. J. Joseph Salman Khan F. Khan V. Balasubramanian ObjD 24 448 0 03 Mar 2021
Deep Anomaly Detection by Residual Adaptation Lucas Deecke Lukas Ruff Robert A. Vandermeulen Hakan Bilen UQCV 23 4 0 05 Oct 2020
Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation Xuming Ran Mingkun Xu Lingrui Mei Qi Xu Quanying Liu OODD UQCV 34 50 0 16 Jul 2020
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection Oliver Rippel Patrick Mertens Dorit Merhof 24 236 0 28 May 2020
Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection Seonho Park George Adosoglou P. Pardalos DRL UQCV 34 16 0 05 May 2020
ARAE: Adversarially Robust Training of Autoencoders Improves Novelty Detection Mohammadreza Salehi Atrin Arya Barbod Pajoum Mohammad Otoofi Amirreza Shaeiri M. Rohban Hamid R. Rabiee AAML 26 62 0 12 Mar 2020
Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer Output Vahdat Abdelzad Krzysztof Czarnecki Rick Salay Taylor Denouden Sachin Vernekar Buu Phan OODD 19 45 0 23 Oct 2019
Out-of-distribution Detection in Classifiers via Generation Sachin Vernekar Ashish Gaurav Vahdat Abdelzad Taylor Denouden Rick Salay Krzysztof Czarnecki OODD 19 83 0 09 Oct 2019
Out-of-domain Detection for Natural Language Understanding in Dialog Systems Yinhe Zheng Guanyi Chen Minlie Huang 18 121 0 09 Sep 2019
Spatio-Temporal Adversarial Learning for Detecting Unseen Falls Shehroz S. Khan Jacob Nogas Alex Mihailidis 22 22 0 19 May 2019
Multi-class Novelty Detection Using Mix-up Technique Supritam Bhattacharjee Devraj Mandal Soma Biswas 22 14 0 11 May 2019
Analysis of Confident-Classifiers for Out-of-distribution Detection Sachin Vernekar Ashish Gaurav Taylor Denouden Buu Phan Vahdat Abdelzad Rick Salay Krzysztof Czarnecki OODD 14 18 0 27 Apr 2019
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 233 2,545 0 25 Jan 2016