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2002.02887
Cited By
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
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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
Ege Onur Taga
M. E. Ildiz
Samet Oymak
AI4TS
50
2
0
22 Feb 2025
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
Stijn Verdenius
Andrea Zerio
Roy L.M. Wang
BDL
AI4TS
AI4CE
32
2
0
16 May 2024
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
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
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
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!
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
D. Canaday
Andrew Pomerance
M. Girvan
AI4TS
21
1
0
07 Oct 2021
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
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
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
172
639
0
19 Sep 2019
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
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
252
11,677
0
09 Mar 2017
1