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DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock
  Trend Forecasting

DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting

16 June 2023
Lifan Zhao
Shuming Kong
Yanyan Shen
    AIFin
ArXivPDFHTML

Papers citing "DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting"

4 / 4 papers shown
Title
QuantBench: Benchmarking AI Methods for Quantitative Investment
QuantBench: Benchmarking AI Methods for Quantitative Investment
Saizhuo Wang
Hao Kong
Jiadong Guo
Fengrui Hua
Yiyan Qi
Wanyun Zhou
Jiahao Zheng
Xinyu Wang
Lionel M. Ni
Jian Guo
55
0
0
24 Apr 2025
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
245
648
0
23 Mar 2020
TaskNorm: Rethinking Batch Normalization for Meta-Learning
TaskNorm: Rethinking Batch Normalization for Meta-Learning
J. Bronskill
Jonathan Gordon
James Requeima
Sebastian Nowozin
Richard E. Turner
51
89
0
06 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
237
11,568
0
09 Mar 2017
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