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References (21)

[1]
Contrastive Similarity Learning for Market Forecasting: The ContraSim Framework
2025Nicholas Vinden, Raeid Saqur et al.
[2]
Chronos: Learning the Language of Time Series
2024Abdul Fatir Ansari, Lorenzo Stella et al.
[3]
MOMENT: A Family of Open Time-series Foundation Models
2024Mononito Goswami, Konrad Szafer et al.
[4]
Soft Contrastive Learning for Time Series
2023Seunghan Lee, Taeyoung Park et al.
[5]
SimStock : Representation Model for Stock Similarities
2023Yoon-Jeong Hwang, Junhyeong Lee et al.
[6]
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
2022Yuqi Nie, Nam H. Nguyen et al.
[7]
Rank-N-Contrast: Learning Continuous Representations for Regression
2022Kaiwen Zha, Peng Cao et al.
[8]
HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information
2021Wentao Xu, Weiqing Liu et al.
[9]
TS2Vec: Towards Universal Representation of Time Series
2021Zhihan Yue, Yujing Wang et al.
[10]
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding
2021S. Tonekaboni, D. Eytan et al.
[11]
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
2020Alexey Dosovitskiy, Lucas Beyer et al.
[12]
A Simple Framework for Contrastive Learning of Visual Representations
2020Ting Chen, Simon Kornblith et al.
[13]
Momentum Contrast for Unsupervised Visual Representation Learning
2019Kaiming He, Haoqi Fan et al.
[14]
Empirical Asset Pricing Via Machine Learning
2018Shihao Gu, B. Kelly et al.
[15]
Temporal Relational Ranking for Stock Prediction
2018Fuli Feng, Xiangnan He et al.
[16]
Representation Learning with Contrastive Predictive Coding
2018Aäron van den Oord, Yazhe Li et al.
[17]
Decoupled Weight Decay Regularization
2017I. Loshchilov, F. Hutter
[18]
Attention is All you Need
2017Ashish Vaswani, Noam Shazeer et al.
[19]
Pairs Trading: Performance of a Relative Value Arbitrage Rule
1998Evan G. Gatev, W. Goetzmann et al.
[20]
Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency
1993Narasimhan Jegadeesh, S. Titman

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