Parametric Augmentation for Time Series Contrastive Learning

Parametric Augmentation for Time Series Contrastive Learning

16 February 2024

Papers citing "Parametric Augmentation for Time Series Contrastive Learning"

9 / 9 papers shown

Title
DRAN: A Distribution and Relation Adaptive Network for Spatio-temporal Forecasting Xiaobei Zou Luolin Xiong Kexuan Zhang Cesare Alippi Yang Tang AI4TS 46 0 0 02 Apr 2025
MFF-FTNet: Multi-scale Feature Fusion across Frequency and Temporal Domains for Time Series Forecasting Yangyang Shi Qianqian Ren Yong Liu Jianguo Sun AI4TS 72 0 0 26 Nov 2024
MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with 0.1K Parameters Aitian Ma Dongsheng Luo Mo Sha AI4TS 47 1 0 02 Oct 2024
MMFNet: Multi-Scale Frequency Masking Neural Network for Multivariate Time Series Forecasting Aitian Ma Dongsheng Luo Mo Sha AI4TS 28 0 0 02 Oct 2024
Universal Time-Series Representation Learning: A Survey Patara Trirat Yooju Shin Junhyeok Kang Youngeun Nam Jihye Na Minyoung Bae Joeun Kim Byunghyun Kim Jae-Gil Lee AI4TS 75 15 0 08 Jan 2024
Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer Wen-Rang Zhang Ling Yang Shijia Geng Shenda Hong ViT AI4TS 37 42 0 20 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 117 394 0 03 Feb 2022
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators Yihang Yin Qingzhong Wang Siyu Huang Haoyi Xiong Xiang Zhang 47 143 0 21 Sep 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 3,900 0 14 Dec 2020