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Forecasting Market Prices using DL with Data Augmentation and
  Meta-learning: ARIMA still wins!

Forecasting Market Prices using DL with Data Augmentation and Meta-learning: ARIMA still wins!

19 October 2021
Vedant Shah
Gautam M. Shroff
    AI4TS
ArXivPDFHTML

Papers citing "Forecasting Market Prices using DL with Data Augmentation and Meta-learning: ARIMA still wins!"

5 / 5 papers shown
Title
Do We Really Need Deep Learning Models for Time Series Forecasting?
Do We Really Need Deep Learning Models for Time Series Forecasting?
Shereen Elsayed
Daniela Thyssens
Ahmed Rashed
H. Jomaa
Lars Schmidt-Thieme
AI4TS
46
106
0
06 Jan 2021
Meta-learning framework with applications to zero-shot time-series
  forecasting
Meta-learning framework with applications to zero-shot time-series forecasting
Boris N. Oreshkin
Dmitri Carpov
Nicolas Chapados
Yoshua Bengio
UQCV
AI4TS
AI4CE
201
112
0
07 Feb 2020
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series
  Forecasting
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
Bryan Lim
Sercan O. Arik
Nicolas Loeff
Tomas Pfister
AI4TS
113
1,457
0
19 Dec 2019
On First-Order Meta-Learning Algorithms
On First-Order Meta-Learning Algorithms
Alex Nichol
Joshua Achiam
John Schulman
230
2,232
0
08 Mar 2018
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
823
11,909
0
09 Mar 2017
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