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UniCL: A Universal Contrastive Learning Framework for Large Time Series Models

UniCL: A Universal Contrastive Learning Framework for Large Time Series Models

Jiawei Li
Jingshu Peng
Haoyang Li
Lei Chen
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Papers citing "UniCL: A Universal Contrastive Learning Framework for Large Time Series Models"

4 / 4 papers shown
Title
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting
Haoxin Liu
Zhiyuan Zhao
Jindong Wang
Harshavardhan Kamarthi
B. A. Prakash
AI4TS
LRM
VLM
50
23
0
25 Feb 2024
One Transformer for All Time Series: Representing and Training with Time-Dependent Heterogeneous Tabular Data
One Transformer for All Time Series: Representing and Training with Time-Dependent Heterogeneous Tabular Data
Simone Luetto
Fabrizio Garuti
E. Sangineto
L. Forni
Rita Cucchiara
LMTD
AI4TS
77
10
0
13 Feb 2023
Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures
Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures
T. Zhang
Yizhuo Zhang
Wei Cao
Jiang Bian
Xiaohan Yi
Shun Zheng
Jian Li
BDL
AI4TS
95
145
0
04 Jul 2022
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
159
3,799
0
14 Dec 2020