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Distillation Enhanced Time Series Forecasting Network with Momentum
  Contrastive Learning

Distillation Enhanced Time Series Forecasting Network with Momentum Contrastive Learning

31 January 2024
Haozhi Gao
Qianqian Ren
Jinbao Li
    AI4TS
ArXivPDFHTML

Papers citing "Distillation Enhanced Time Series Forecasting Network with Momentum Contrastive Learning"

4 / 4 papers shown
Title
CoST: Contrastive Learning of Disentangled Seasonal-Trend
  Representations for Time Series Forecasting
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
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
317
5,775
0
29 Apr 2021
Mutual Contrastive Learning for Visual Representation Learning
Mutual Contrastive Learning for Visual Representation Learning
Chuanguang Yang
Zhulin An
Linhang Cai
Yongjun Xu
VLM
SSL
99
75
0
26 Apr 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series
  Forecasting
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
1