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Meta-Forecasting by combining Global Deep Representations with Local
  Adaptation

Meta-Forecasting by combining Global Deep Representations with Local Adaptation

5 November 2021
Riccardo Grazzi
Valentin Flunkert
David Salinas
Tim Januschowski
Matthias Seeger
Cédric Archambeau
    AI4TS
    AI4CE
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Papers citing "Meta-Forecasting by combining Global Deep Representations with Local Adaptation"

3 / 3 papers shown
Title
Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach
Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach
Tong Nie
Junlin He
Yuewen Mei
Guoyang Qin
Guilong Li
Jian Sun
Wei Ma
34
3
0
30 Aug 2024
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
177
639
0
19 Sep 2019
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
332
11,684
0
09 Mar 2017
1