DROCC: Deep Robust One-Class Classification

28 February 2020

Moksh Jain

Papers citing "DROCC: Deep Robust One-Class Classification"

50 / 95 papers shown

Title
Subject Information Extraction for Novelty Detection with Domain Shifts Yangyang Qu Dazhi Fu Jicong Fan OOD 59 0 0 30 Apr 2025
PatchTrAD: A Patch-Based Transformer focusing on Patch-Wise Reconstruction Error for Time Series Anomaly Detection Samy-Melwan Vilhes Gilles Gasso Mokhtar Z. Alaya AI4TS 32 0 0 10 Apr 2025
An Integrated AI-Enabled System Using One Class Twin Cross Learning (OCT-X) for Early Gastric Cancer Detection Xian-Xian Liu Yuanyuan Wei Mingkun Xu Yongze Guo H. Zhang ... Qi Zhao W. Luo Feng Tien Juntao Gao Simon Fong 26 0 0 31 Mar 2025
Learning Decision Trees as Amortized Structure Inference Mohammed Mahfoud Ghait Boukachab Michał Koziarski A. Garcia Stefan Bauer Yoshua Bengio Nikolay Malkin BDL 53 0 0 10 Mar 2025
Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation Romain Hermary Vincent Gaudillière Abd El Rahman Shabayek Djamila Aouada AAML 54 1 0 07 Mar 2025
Automatic Prompt Generation and Grounding Object Detection for Zero-Shot Image Anomaly Detection Tsun-hin Cheung Ka-Chun Fung Songjiang Lai Kwan-Ho Lin Vincent To-Yee NG K. Lam 72 0 0 28 Nov 2024
Disentangling Tabular Data Towards Better One-Class Anomaly Detection Jianan Ye Zhaorui Tan Yijie Hu Xi Yang Guangliang Cheng K. Huang 31 0 0 12 Nov 2024
A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasks Tianyi Zhang Atta Norouzian Aanchan Mohan Frederick Ducatelle 13 0 0 17 Oct 2024
Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly Detection Yuanyi Wang Haifeng Sun Chengsen Wang Mengde Zhu Jingyu Wang Wei Tang Q. Qi Zirui Zhuang Jianxin Liao AI4TS 35 2 0 11 Oct 2024
Enhancing Anomaly Detection via Generating Diversified and Hard-to-distinguish Synthetic Anomalies Hyuntae Kim Changhee Lee AAML 11 2 0 16 Sep 2024
FedHide: Federated Learning by Hiding in the Neighbors Hyunsin Park Sungrack Yun FedML 26 0 0 12 Sep 2024
Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection Suhee Yoon Sanghyu Yoon Hankook Lee Ye Seul Sim Sungik Choi Kyungeun Lee Hye-Seung Cho Woohyung Lim 33 0 0 27 Aug 2024
Linear-time One-Class Classification with Repeated Element-wise Folding Jenni Raitoharju 21 0 0 21 Aug 2024
A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization Qiyu Chen Huiyuan Luo Chengkan Lv Zhengtao Zhang 37 16 0 12 Jul 2024
AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics Jonas Dippel Niklas Prenißl Julius Hense Philipp Liznerski Tobias Winterhoff ... David Horst Maximilian Alber Lukas Ruff Klaus-Robert Müller Frederick Klauschen 32 4 0 21 Jun 2024
ARC: A Generalist Graph Anomaly Detector with In-Context Learning Yixin Liu Shiyuan Li Yu Zheng Qingfeng Chen Chengqi Zhang Shirui Pan 40 10 0 27 May 2024
USD: Unsupervised Soft Contrastive Learning for Fault Detection in Multivariate Time Series Hong Liu Xiuxiu Qiu Yiming Shi Z. Zang 23 0 0 25 May 2024
Human-AI Safety: A Descendant of Generative AI and Control Systems Safety Andrea V. Bajcsy J. F. Fisac 34 7 0 16 May 2024
Hyp-OC: Hyperbolic One Class Classification for Face Anti-Spoofing Kartik Narayan Vishal M. Patel CVBM 41 1 0 22 Apr 2024
LLM meets Vision-Language Models for Zero-Shot One-Class Classification Yassir Bendou G. Lioi Bastien Pasdeloup Lukas Mauch G. B. Hacene Fabien Cardinaux Vincent Gripon VLM MLLM 46 0 0 31 Mar 2024
Making Parametric Anomaly Detection on Tabular Data Non-Parametric Again Hugo Thimonier Fabrice Popineau Arpad Rimmel Bich-Liên Doan 21 1 0 30 Jan 2024
A2C: A Modular Multi-stage Collaborative Decision Framework for Human-AI Teams Shahroz Tariq Mohan Baruwal Chhetri Surya Nepal Cécile Paris 34 6 0 25 Jan 2024
DACR: Distribution-Augmented Contrastive Reconstruction for Time-Series Anomaly Detection Lixu Wang Shichao Xu Xinyu Du Qi Zhu 22 1 0 20 Jan 2024
A Survey on Open-Set Image Recognition Jiaying Sun Qiulei Dong BDL ObjD 32 3 0 25 Dec 2023
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective João B. S. Carvalho Mengtao Zhang Robin Geyer C. Jiménez J. M. Buhmann 23 5 0 21 Dec 2023
Label-Free Multivariate Time Series Anomaly Detection Qihang Zhou Shibo He Haoyu Liu Jiming Chen Wenchao Meng AI4TS 19 10 0 17 Dec 2023
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models Sungik Choi Hankook Lee Honglak Lee Moontae Lee DiffM 31 7 0 05 Dec 2023
Revisiting Non-separable Binary Classification and its Applications in Anomaly Detection Matthew Lau Ismaila Seck Athanasios P. Meliopoulos Wenke Lee Eugène Ndiaye 23 2 0 03 Dec 2023
Set Features for Anomaly Detection Niv Cohen Issar Tzachor Yedid Hoshen 29 0 0 24 Nov 2023
PhytNet -- Tailored Convolutional Neural Networks for Custom Botanical Data Jamie R. Sykes Katherine Denby Daniel W. Franks 17 1 0 20 Nov 2023
A Machine Learning-oriented Survey on Tiny Machine Learning Luigi Capogrosso Federico Cunico D. Cheng Franco Fummi Marco Cristani SyDa MU 29 33 0 21 Sep 2023
Restricted Generative Projection for One-Class Classification and Anomaly Detection F. Xiao Ruoyu Sun Jicong Fan UQCV 29 2 0 09 Jul 2023
Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning Hongzuo Xu Yijie Wang Juhui Wei Songlei Jian Yizhou Li Ninghui Liu 28 30 0 25 May 2023
Beyond Individual Input for Deep Anomaly Detection on Tabular Data Hugo Thimonier Fabrice Popineau Arpad Rimmel Bich-Liên Doan 18 5 0 24 May 2023
Towards the Universal Defense for Query-Based Audio Adversarial Attacks Feng Guo Zhengyi Sun Yuxuan Chen Lei Ju AAML 16 3 0 20 Apr 2023
Anomaly Detection under Distribution Shift T. Cao Jiawen Zhu Guansong Pang 45 26 0 24 Mar 2023
Deep Anomaly Detection on Tennessee Eastman Process Data Fabian Hartung Billy Joe Franks Tobias Michels Dennis Wagner Philipp Liznerski ... Stephan Mandt Michael Bortz Jakob Burger Hans Hasse Marius Kloft 11 6 0 10 Mar 2023
Open World Classification with Adaptive Negative Samples Ke Bai Guoyin Wang Jiwei Li Sunghyun Park Sungjin Lee Puyang Xu Ricardo Henao Lawrence Carin VLM 21 5 0 09 Mar 2023
Set Features for Fine-grained Anomaly Detection Niv Cohen Issar Tzachor Yedid Hoshen AI4TS 26 15 0 23 Feb 2023
Deep Orthogonal Hypersphere Compression for Anomaly Detection Yunhe Zhang Yan Sun Jinyu Cai Jicong Fan 38 10 0 13 Feb 2023
Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics Minkyung Kim Junsik Kim Jongmin Yu Jun Kyun Choi 19 2 0 13 Feb 2023
Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks Louis Bethune Paul Novello Thibaut Boissin Guillaume Coiffier M. Serrurier Quentin Vincenot Andres Troya-Galvis 26 8 0 26 Jan 2023
FewSOME: One-Class Few Shot Anomaly Detection with Siamese Networks Niamh Belton Misgina Tsighe Hagos Aonghus Lawlor Kathleen M. Curran 20 14 0 17 Jan 2023
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models Dongha Kim Jaesung Hwang Jongjin Lee Kunwoong Kim Yongdai Kim OODD 26 1 0 11 Jan 2023
Is Out-of-Distribution Detection Learnable? Zhen Fang Yixuan Li Jie Lu Jiahua Dong Bo Han Feng Liu OODD 30 124 0 26 Oct 2022
InForecaster: Forecasting Influenza Hemagglutinin Mutations Through the Lens of Anomaly Detection Ali Garjani Atoosa Malemir Chegini Mohammadreza Salehi A. Tabibzadeh Parastoo Yousefi M. Razizadeh Moein Esghaei Maryam Esghaei M. Rohban 28 0 0 25 Oct 2022
Graph Anomaly Detection with Unsupervised GNNs Lingxiao Zhao Saurabh Sawlani Arvind Srinivasan L. Akoglu 36 17 0 18 Oct 2022
Detecting Multivariate Time Series Anomalies with Zero Known Label Qihang Zhou Jiming Chen Haoyu Liu Shibo He Wenchao Meng AI4TS 32 22 0 03 Aug 2022
Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection Hongzuo Xu Yijie Wang Songlei Jian Qing Liao Yongjun Wang Guansong Pang AI4TS 21 40 0 25 Jul 2022
Distance Learner: Incorporating Manifold Prior to Model Training Aditya Chetan Nipun Kwatra 21 1 0 14 Jul 2022