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Meta-learning framework with applications to zero-shot time-series
  forecasting

Meta-learning framework with applications to zero-shot time-series forecasting

7 February 2020
Boris N. Oreshkin
Dmitri Carpov
Nicolas Chapados
Yoshua Bengio
    UQCV
    AI4TS
    AI4CE
ArXivPDFHTML

Papers citing "Meta-learning framework with applications to zero-shot time-series forecasting"

14 / 14 papers shown
Title
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
Ege Onur Taga
M. E. Ildiz
Samet Oymak
AI4TS
50
2
0
22 Feb 2025
Zero-shot forecasting of chaotic systems
Zero-shot forecasting of chaotic systems
Yuanzhao Zhang
William Gilpin
AI4TS
37
4
0
24 Sep 2024
LaT-PFN: A Joint Embedding Predictive Architecture for In-context
  Time-series Forecasting
LaT-PFN: A Joint Embedding Predictive Architecture for In-context Time-series Forecasting
Stijn Verdenius
Andrea Zerio
Roy L.M. Wang
BDL
AI4TS
AI4CE
32
2
0
16 May 2024
Forecasting with Hyper-Trees
Forecasting with Hyper-Trees
Alexander März
Kashif Rasul
42
0
0
13 May 2024
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Weijiao Zhang
Jindong Han
Zhao Xu
Hang Ni
Hao Liu
Hui Xiong
Hui Xiong
AI4CE
77
15
0
30 Jan 2024
Koopman Neural Forecaster for Time Series with Temporal Distribution
  Shifts
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts
Rui Wang
Yihe Dong
Sercan Ö. Arik
Rose Yu
AI4TS
31
22
0
07 Oct 2022
Few-Shot Forecasting of Time-Series with Heterogeneous Channels
Few-Shot Forecasting of Time-Series with Heterogeneous Channels
L. Brinkmeyer
Rafael Rêgo Drumond
Johannes Burchert
Lars Schmidt-Thieme
AI4TS
17
7
0
07 Apr 2022
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!
Vedant Shah
Gautam M. Shroff
AI4TS
8
5
0
19 Oct 2021
A Meta-learning Approach to Reservoir Computing: Time Series Prediction
  with Limited Data
A Meta-learning Approach to Reservoir Computing: Time Series Prediction with Limited Data
D. Canaday
Andrew Pomerance
M. Girvan
AI4TS
21
1
0
07 Oct 2021
Darts: User-Friendly Modern Machine Learning for Time Series
Darts: User-Friendly Modern Machine Learning for Time Series
J. Herzen
Francesco Lässig
Samuele Giuliano Piazzetta
T. Neuer
Léo Tafti
...
Mounir Benheddi
Camila Williamson
Michal Kosinskihttps://www.semanticscholar.org/me/account
M. Petrik
Gaël Grosch
AI4TS
35
214
0
07 Oct 2021
Forecasting: theory and practice
Forecasting: theory and practice
F. Petropoulos
D. Apiletti
Vassilios Assimakopoulos
M. Z. Babai
Devon K. Barrow
...
J. Arenas
Xiaoqian Wang
R. L. Winkler
Alisa Yusupova
F. Ziel
AI4TS
28
362
0
04 Dec 2020
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
172
639
0
19 Sep 2019
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
243
890
0
11 Nov 2017
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
252
11,677
0
09 Mar 2017
1