Title
Learning Soft Sparse Shapes for Efficient Time-Series Classification Zhen Liu Yicheng Luo B. Li Emadeldeen Eldele Min-man Wu Qianli Ma AI4TS 29 0 0 11 May 2025
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Generalizable and Explainable Deep Learning for Medical Image Computing: An Overview A. Chaddad Yan Hu Yihang Wu Binbin Wen R. Kateb 56 6 0 11 Mar 2025
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Recurrent Neural Goodness-of-Fit Test for Time Series Aoran Zhang Wenbin Zhou Liyan Xie Shixiang Zhu 37 1 0 17 Oct 2024
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Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts X. Shi Shiyu Wang Yuqi Nie Dianqi Li Zhou Ye Qingsong Wen Ming Jin AI4TS 36 26 0 24 Sep 2024
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders Qichao Shentu Beibu Li Kai Zhao Yang Shu Zhongwen Rao Lujia Pan Bin Yang Chenjuan Guo AI4TS 53 5 0 24 May 2024
A Review on Discriminative Self-supervised Learning Methods in Computer Vision Nikolaos Giakoumoglou Tania Stathaki Athanasios Gkelias SSL 61 1 0 08 May 2024
Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning F. Corponi Bryan M. Li G. Anmella Clàudia Valenzuela-Pascual Ariadna Mas ... Allan H Young S. Lawrie H. Whalley D. Hidalgo-Mazzei Antonio Vergari 19 0 0 07 Nov 2023
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook Ming Jin Qingsong Wen Yuxuan Liang Chaoli Zhang Siqiao Xue ... Shirui Pan Vincent S. Tseng Yu Zheng Lei Chen Hui Xiong AI4TS SyDa 35 117 0 16 Oct 2023
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A Survey on Deep Learning based Time Series Analysis with Frequency Transformation Kun Yi Qi Zhang LongBing Cao Shoujin Wang Guodong Long Liang Hu Hui He ZhenDong Niu Wei Fan Hui Xiong AI4TS 55 21 0 04 Feb 2023
Graph Anomaly Detection in Time Series: A Survey Thi Kieu Khanh Ho Ali Karami Narges Armanfard AI4TS 21 5 0 31 Jan 2023
GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks Jinsung Jeon Jeonghak Kim Haryong Song Seunghyeon Cho Noseong Park AI4TS 79 42 0 05 Oct 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,300 0 02 Sep 2022
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FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting Tian Zhou Ziqing Ma Xue Wang Qingsong Wen Liang Sun Tao Yao Wotao Yin Rong Jin AI4TS 121 167 0 18 May 2022
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting Gerald Woo Chenghao Liu Doyen Sahoo Akshat Kumar Steven C. H. Hoi AI4TS 111 394 0 03 Feb 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,434 0 11 Nov 2021
Towards a Rigorous Evaluation of Time-series Anomaly Detection Siwon Kim K. Choi Hyun-Soo Choi Byunghan Lee Sungroh Yoon AI4TS 75 146 0 11 Sep 2021
Neural Contextual Anomaly Detection for Time Series Chris U. Carmona Franccois-Xavier Aubet Valentin Flunkert Jan Gasthaus BDL AI4TS 57 62 0 16 Jul 2021
Multi-Time Attention Networks for Irregularly Sampled Time Series Satya Narayan Shukla Benjamin M. Marlin AI4TS 108 183 0 25 Jan 2021
Discrete Graph Structure Learning for Forecasting Multiple Time Series Chao Shang Jie Chen J. Bi CML BDL AI4TS 99 226 0 18 Jan 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 169 3,876 0 14 Dec 2020
Contrastive Representation Learning: A Framework and Review Phúc H. Lê Khắc Graham Healy A. Smeaton SSL AI4TS 164 684 0 10 Oct 2020
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 243 1,450 0 18 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 276 10,348 0 12 Dec 2018
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