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DROCC: Deep Robust One-Class Classification
v1v2 (latest)

DROCC: Deep Robust One-Class Classification

International Conference on Machine Learning (ICML), 2020
28 February 2020
Sachin Goyal
Aditi Raghunathan
Moksh Jain
H. Simhadri
Prateek Jain
    VLM
ArXiv (abs)PDFHTMLGithub (1622★)

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

50 / 104 papers shown
Deep Unsupervised Anomaly Detection in Brain Imaging: Large-Scale Benchmarking and Bias Analysis
Deep Unsupervised Anomaly Detection in Brain Imaging: Large-Scale Benchmarking and Bias Analysis
Alexander Frötscher
Christian F. Baumgartner
T. Wolfers
OOD
284
0
0
01 Dec 2025
CEDL: Centre-Enhanced Discriminative Learning for Anomaly Detection
CEDL: Centre-Enhanced Discriminative Learning for Anomaly Detection
Zahra Zamanzadeh Darban
Qizhou Wang
Charu C. Aggarwal
Geoffrey I. Webb
Ehsan Abbasnejad
Mahsa Salehi
120
0
0
15 Nov 2025
Out-of-Distribution Detection for Safety Assurance of AI and Autonomous Systems
Out-of-Distribution Detection for Safety Assurance of AI and Autonomous Systems
Victoria Hodge
Colin Paterson
Ibrahim Habli
154
2
0
24 Oct 2025
Identifying & Interactively Refining Ambiguous User Goals for Data Visualization Code Generation
Identifying & Interactively Refining Ambiguous User Goals for Data Visualization Code Generation
Mert Inan
Anthony Sicilia
Alex Xie
Saujas Vaduguru
Daniel Fried
Malihe Alikhani
139
0
0
10 Oct 2025
CaPulse: Detecting Anomalies by Tuning in to the Causal Rhythms of Time Series
CaPulse: Detecting Anomalies by Tuning in to the Causal Rhythms of Time Series
Yutong Xia
Yingying Zhang
Yuxuan Liang
Lunting Fan
Qingsong Wen
Roger Zimmermann
AI4TS
229
1
0
06 Aug 2025
From Lab to Factory: Pitfalls and Guidelines for Self-/Unsupervised Defect Detection on Low-Quality Industrial Images
From Lab to Factory: Pitfalls and Guidelines for Self-/Unsupervised Defect Detection on Low-Quality Industrial Images
Sebastian Hönel
Jonas Nordqvist
301
0
0
20 Jun 2025
Generalized Reference Kernel With Negative Samples For Support Vector One-class Classification
Generalized Reference Kernel With Negative Samples For Support Vector One-class Classification
Jenni Raitoharju
202
0
0
17 Jun 2025
Bridging Unsupervised and Semi-Supervised Anomaly Detection: A Theoretically-Grounded and Practical Framework with Synthetic Anomalies
Bridging Unsupervised and Semi-Supervised Anomaly Detection: A Theoretically-Grounded and Practical Framework with Synthetic Anomalies
Matthew Lau
Tian-Yi Zhou
Xiangchi Yuan
Jizhou Chen
Wenke Lee
Xiaoming Huo
269
0
0
16 Jun 2025
Fairness-aware Anomaly Detection via Fair Projection
Fairness-aware Anomaly Detection via Fair Projection
Feng Xiao
Xiaoying Tang
Jicong Fan
337
1
0
16 May 2025
Subject Information Extraction for Novelty Detection with Domain Shifts
Subject Information Extraction for Novelty Detection with Domain Shifts
Yangyang Qu
Dazhi Fu
Jicong Fan
OOD
404
6
0
30 Apr 2025
PatchTrAD: A Patch-Based Transformer focusing on Patch-Wise Reconstruction Error for Time Series Anomaly Detection
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
354
2
0
10 Apr 2025
An Integrated AI-Enabled System Using One Class Twin Cross Learning (OCT-X) for Early Gastric Cancer Detection
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
Han Zhang
...
Qi Zhao
W. Luo
Feng Tien
Juntao Gao
Simon Fong
158
0
0
31 Mar 2025
Learning Decision Trees as Amortized Structure Inference
Learning Decision Trees as Amortized Structure Inference
Mohammed Mahfoud
Ghait Boukachab
Michał Koziarski
A. Garcia
Stefan Bauer
Yoshua Bengio
Nikolay Malkin
BDL
350
1
0
10 Mar 2025
Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation
Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature PerturbationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025
Romain Hermary
Vincent Gaudillière
Abd El Rahman Shabayek
Djamila Aouada
AAML
397
1
0
07 Mar 2025
Automatic Prompt Generation and Grounding Object Detection for Zero-Shot
  Image Anomaly Detection
Automatic Prompt Generation and Grounding Object Detection for Zero-Shot Image Anomaly DetectionAsia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2024
Tsun-hin Cheung
Ka-Chun Fung
Songjiang Lai
Kwan-Ho Lin
Vincent To-Yee NG
K. Lam
307
0
0
28 Nov 2024
Disentangling Tabular Data Towards Better One-Class Anomaly Detection
Disentangling Tabular Data Towards Better One-Class Anomaly DetectionAAAI Conference on Artificial Intelligence (AAAI), 2024
Jianan Ye
Zhaorui Tan
Yijie Hu
Xi Yang
Guangliang Cheng
K. Huang
293
6
0
12 Nov 2024
A new approach for fine-tuning sentence transformers for intent
  classification and out-of-scope detection tasks
A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasksConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Tianyi Zhang
Atta Norouzian
Aanchan Mohan
Frederick Ducatelle
287
7
0
17 Oct 2024
Interdependency Matters: Graph Alignment for Multivariate Time Series
  Anomaly Detection
Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly DetectionIndustrial Conference on Data Mining (IDM), 2024
Yuanyi Wang
Haifeng Sun
Chengsen Wang
Mengde Zhu
Jingyu Wang
Wei Tang
Q. Qi
Zirui Zhuang
Jianxin Liao
AI4TS
235
6
0
11 Oct 2024
Enhancing Anomaly Detection via Generating Diversified and
  Hard-to-distinguish Synthetic Anomalies
Enhancing Anomaly Detection via Generating Diversified and Hard-to-distinguish Synthetic AnomaliesInternational Conference on Information and Knowledge Management (CIKM), 2024
Hyuntae Kim
Changhee Lee
AAML
293
4
0
16 Sep 2024
FedHide: Federated Learning by Hiding in the Neighbors
FedHide: Federated Learning by Hiding in the NeighborsEuropean Conference on Computer Vision (ECCV), 2024
Hyunsin Park
Sungrack Yun
FedML
261
0
0
12 Sep 2024
Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection
Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution DetectionAAAI Conference on Artificial Intelligence (AAAI), 2024
Suhee Yoon
Sanghyu Yoon
Ye Seul Sim
Sungik Choi
Kyungeun Lee
Hye-Seung Cho
Hankook Lee
Woohyung Lim
344
1
0
27 Aug 2024
Linear-time One-Class Classification with Repeated Element-wise Folding
Linear-time One-Class Classification with Repeated Element-wise FoldingEuropean Signal Processing Conference (EUSIPCO), 2024
Jenni Raitoharju
175
0
0
21 Aug 2024
A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial
  Anomaly Detection and Localization
A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization
Qiyu Chen
Huiyuan Luo
Chengkan Lv
Zhengtao Zhang
355
91
0
12 Jul 2024
AI-based Anomaly Detection for Clinical-Grade Histopathological
  Diagnostics
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
299
15
0
21 Jun 2024
ARC: A Generalist Graph Anomaly Detector with In-Context Learning
ARC: A Generalist Graph Anomaly Detector with In-Context Learning
Yixin Liu
Shiyuan Li
Yu Zheng
Qingfeng Chen
Chengqi Zhang
Shirui Pan
319
45
0
27 May 2024
Deep Multi-Manifold Transformation Based Multivariate Time Series Fault Detection
Deep Multi-Manifold Transformation Based Multivariate Time Series Fault Detection
Hong Liu
Xiuxiu Qiu
Yiming Shi
Miao Xu
Z. Zang
Zhen Lei
337
0
0
25 May 2024
Human-AI Safety: A Descendant of Generative AI and Control Systems
  Safety
Human-AI Safety: A Descendant of Generative AI and Control Systems Safety
Andrea V. Bajcsy
J. F. Fisac
314
9
0
16 May 2024
Hyp-OC: Hyperbolic One Class Classification for Face Anti-Spoofing
Hyp-OC: Hyperbolic One Class Classification for Face Anti-Spoofing
Kartik Narayan
Vishal M. Patel
CVBM
215
6
0
22 Apr 2024
LLM meets Vision-Language Models for Zero-Shot One-Class Classification
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
VLMMLLM
426
1
0
31 Mar 2024
Making Parametric Anomaly Detection on Tabular Data Non-Parametric Again
Making Parametric Anomaly Detection on Tabular Data Non-Parametric Again
Hugo Thimonier
Fabrice Popineau
Arpad Rimmel
Bich-Liên Doan
311
6
0
30 Jan 2024
A2C: A Modular Multi-stage Collaborative Decision Framework for Human-AI
  Teams
A2C: A Modular Multi-stage Collaborative Decision Framework for Human-AI TeamsExpert systems with applications (ESWA), 2024
Shahroz Tariq
Mohan Baruwal Chhetri
Surya Nepal
Cécile Paris
315
19
0
25 Jan 2024
DACR: Distribution-Augmented Contrastive Reconstruction for Time-Series
  Anomaly Detection
DACR: Distribution-Augmented Contrastive Reconstruction for Time-Series Anomaly DetectionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Lixu Wang
Shichao Xu
Xinyu Du
Qi Zhu
207
2
0
20 Jan 2024
A Survey on Open-Set Image Recognition
A Survey on Open-Set Image Recognition
Qiulei Dong
Qiulei Dong
BDLObjD
263
14
0
25 Dec 2023
Invariant Anomaly Detection under Distribution Shifts: A Causal
  Perspective
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective
João B. S. Carvalho
Mengtao Zhang
Robin Geyer
C. Jiménez
J. M. Buhmann
245
13
0
21 Dec 2023
Label-Free Multivariate Time Series Anomaly Detection
Label-Free Multivariate Time Series Anomaly Detection
Qihang Zhou
Shibo He
Haoyu Liu
Jiming Chen
Wenchao Meng
AI4TS
476
35
0
17 Dec 2023
Projection Regret: Reducing Background Bias for Novelty Detection via
  Diffusion Models
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023
Sungik Choi
Hankook Lee
Honglak Lee
Moontae Lee
DiffM
285
13
0
05 Dec 2023
Revisiting Non-separable Binary Classification and its Applications in
  Anomaly Detection
Revisiting Non-separable Binary Classification and its Applications in Anomaly Detection
Matthew Lau
Ismaila Seck
Athanasios P. Meliopoulos
Wenke Lee
Eugène Ndiaye
243
4
0
03 Dec 2023
Set Features for Anomaly Detection
Set Features for Anomaly Detection
Niv Cohen
Issar Tzachor
Yedid Hoshen
557
3
0
24 Nov 2023
PhytNet -- Tailored Convolutional Neural Networks for Custom Botanical
  Data
PhytNet -- Tailored Convolutional Neural Networks for Custom Botanical Data
Jamie R. Sykes
Katherine Denby
Daniel W. Franks
184
2
0
20 Nov 2023
A Machine Learning-oriented Survey on Tiny Machine Learning
A Machine Learning-oriented Survey on Tiny Machine LearningIEEE Access (IEEE Access), 2023
Luigi Capogrosso
Federico Cunico
D. Cheng
Franco Fummi
Marco Cristani
SyDaMU
455
94
0
21 Sep 2023
Restricted Generative Projection for One-Class Classification and
  Anomaly Detection
Restricted Generative Projection for One-Class Classification and Anomaly Detection
Feng Xiao
Tian Ding
Jicong Fan
UQCV
255
4
0
09 Jul 2023
Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly
  Detection with Scale Learning
Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale LearningInternational Conference on Machine Learning (ICML), 2023
Hongzuo Xu
Yijie Wang
Juhui Wei
Songlei Jian
Yizhou Li
Ninghui Liu
206
65
0
25 May 2023
Beyond Individual Input for Deep Anomaly Detection on Tabular Data
Beyond Individual Input for Deep Anomaly Detection on Tabular DataInternational Conference on Machine Learning (ICML), 2023
Hugo Thimonier
Fabrice Popineau
Arpad Rimmel
Bich-Liên Doan
564
14
0
24 May 2023
Towards the Universal Defense for Query-Based Audio Adversarial Attacks
Towards the Universal Defense for Query-Based Audio Adversarial Attacks
Feng Guo
Zhengyi Sun
Yuxuan Chen
Lei Ju
AAML
278
5
0
20 Apr 2023
Anomaly Detection under Distribution Shift
Anomaly Detection under Distribution ShiftIEEE International Conference on Computer Vision (ICCV), 2023
T. Cao
Jiawen Zhu
Guansong Pang
302
52
0
24 Mar 2023
Deep Anomaly Detection on Tennessee Eastman Process Data
Deep Anomaly Detection on Tennessee Eastman Process DataChemie Ingenieur Technik (CIT), 2023
Fabian Hartung
Billy Joe Franks
Tobias Michels
Dennis Wagner
Philipp Liznerski
...
Stephan Mandt
Michael Bortz
Jakob Burger
Hans Hasse
Matthias Kirchler
245
14
0
10 Mar 2023
Open World Classification with Adaptive Negative Samples
Open World Classification with Adaptive Negative SamplesConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Ke Bai
Guoyin Wang
Jiwei Li
Sunghyun Park
Sungjin Lee
Puyang Xu
Ricardo Henao
Lawrence Carin
VLM
199
7
0
09 Mar 2023
Set Features for Fine-grained Anomaly Detection
Set Features for Fine-grained Anomaly Detection
Niv Cohen
Issar Tzachor
Yedid Hoshen
AI4TS
382
25
0
23 Feb 2023
Deep Orthogonal Hypersphere Compression for Anomaly Detection
Deep Orthogonal Hypersphere Compression for Anomaly DetectionInternational Conference on Learning Representations (ICLR), 2023
Yunhe Zhang
Yan Sun
Jinyu Cai
Jicong Fan
319
25
0
13 Feb 2023
Unsupervised Deep One-Class Classification with Adaptive Threshold based
  on Training Dynamics
Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics
Minkyung Kim
Junsik Kim
Jongmin Yu
Jun Kyun Choi
416
2
0
13 Feb 2023
123
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