本文整理了 2021 年AAAI、ICML等顶会收录的异常检测领域的论文

论文整合网站 paperdigest

AAAI 2021 Accepted-Paper-List

ICML 2021 Accepted-Paper-List

ICLR 2021 Accepted-Paper-List

paper source author
LREN: Low-Rank Embedded Network for Sample-Free Hyperspectral Anomaly Detection AAAI Kai Jiang, Weiying Xie, Jie Lei, Tao Jiang, Yunsong Li
GAN Ensemble for Anomaly Detection AAAI Xiaohui Chen, Xu Han, Liping Liu
Anomaly Attribution with Likelihood Compensation AAAI Tsuyoshi Ide, Amit Dhurandhar, Jiri Navratil, Moninder Singh, Naoki Abe
Regularizing Attention Networks for Anomaly Detection in Visual Question Answering AAAI Regularizing Attention Networks for Anomaly Detection in Visual Question Answering
Appearance-Motion Memory Consistency Network for Video Anomaly Detection AAAI Ruichu Cai, Hao Zhang, Wen Liu, Shenghua Gao, Zhifeng Hao
Learning Semantic Context from Normal Samples for Unsupervised Anomaly Detection AAAI Xudong Yan, Huaidong Zhang, Xuemiao Xu, Xiaowei Hu, Pheng-Ann Heng
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series AAAI Ailin Deng, Bryan Hooi
Time Series Anomaly Detection with Multiresolution Ensemble Decoding AAAI Lifeng Shen, Zhongzhong Yu, Qianli Ma, James Tin-Yau Kwok
Window Loss for Abnormal Finding Classification and Localization in X-Ray Image with Point-Base Annotat AAAI Xinyu Zhang, Yirui Wang, Chi Tung Cheng, Le Lu, Adam P Harrison, Jing Xiao, ChienHung Liao, Shun Miao
Graph Neural Network to Dilute Outliers for Refactoring Monolith Application AAAI Utkarsh Desai, Sambaran Bandyopadhyay, Srikanth Tamilselvam
Accelerated Combinatorial Search for Outlier Detection with Provable Bound on Sub-Optimality AAAI Guihong Wan, Haim Schweitzer
Neighborhood Consensus Networks for Unsupervised Multi-View Outlier Detection AAAI Li Cheng, Yijie Wang, Xinwang Liu
Outlier Impact Characterization for Time Series Data AAAI Jianbo Li, Lecheng Zheng, Yada Zhu, Jingrui He
Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise ICML Vivek Farias (MIT) , Andrew Li (Carnegie Mellon University) ,Tianyi Peng (MIT)
Transfer-Based Semantic Anomaly Detection ICML Lucas Deecke (University of Edinburgh) , Lukas Ruff (Aignostics) , Robert Vandermeulen (TU Berlin) , Hakan Bilen (University of Edinburgh)
Neural Transformation Learning for Deep Anomaly Detection Beyond Images ICML Chen Qiu (TU Kaiserslautern/Bosch Center for Artificial Intelligence) , Timo Pfrommer (Bosch Center for Artificial Intelligence) , Marius Kloft (TU Kaiserslautern) , Stephan Mandt (University of California, Irivine) , Maja Rudolph (BCAI)
Event Outlier Detection in Continuous Time ICML Siqi Liu (Borealis AI) , Milos Hauskrecht (University of Pittsburgh)
Outlier-Robust Optimal Transport ICML Debarghya Mukherjee (University of Michigan) , Aritra Guha (Duke University) , Justin Solomon (MIT) , Yuekai Sun (University of Michigan) , Mikhail Yurochkin (IBM Research AI)
DORO: Distributional and Outlier Robust Optimization ICML Runtian Zhai (Carnegie Mellon University) , Chen Dan (Carnegie Mellon University) , Zico Kolter (Carnegie Mellon University / Bosch Center for AI) , Pradeep Ravikumar (Carnegie Mellon University)
SSD: A Unified Framework for Self-Supervised Outlier Detection ICLR Vikash Sehwag, Mung Chiang, Prateek Mittal
DATE: Detecting Anomalies in Text Via Self-Supervision of Transformers NAACL Andrei Manolache, Florin Brad, Elena Burceanu