ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.01999
  4. Cited By
A Novel Hyperdimensional Computing Framework for Online Time Series
  Forecasting on the Edge

A Novel Hyperdimensional Computing Framework for Online Time Series Forecasting on the Edge

3 February 2024
Mohamed Mejri
C. Amarnath
Abhijit Chatterjee
    AI4TS
ArXiv (abs)PDFHTMLGithub (4★)

Papers citing "A Novel Hyperdimensional Computing Framework for Online Time Series Forecasting on the Edge"

14 / 14 papers shown
Title
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by
  Online Ensembling
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling
Yifan Zhang
Qingsong Wen
Xue Wang
Weiqiu Chen
Liang Sun
Zheng Zhang
Liang Wang
Rong Jin
Tien-Ping Tan
AI4TS
63
35
0
22 Sep 2023
Are Transformers Effective for Time Series Forecasting?
Are Transformers Effective for Time Series Forecasting?
Ailing Zeng
Mu-Hwa Chen
L. Zhang
Qiang Xu
AI4TS
152
1,766
0
26 May 2022
Learning Fast and Slow for Online Time Series Forecasting
Learning Fast and Slow for Online Time Series Forecasting
Quang Pham
Chenghao Liu
Doyen Sahoo
Guosheng Lin
TTAAI4TS
49
33
0
23 Feb 2022
CoST: Contrastive Learning of Disentangled Seasonal-Trend
  Representations for Time Series Forecasting
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting
Gerald Woo
Chenghao Liu
Doyen Sahoo
Akshat Kumar
Steven C. H. Hoi
AI4TS
159
406
0
03 Feb 2022
Learning Fast, Learning Slow: A General Continual Learning Method based
  on Complementary Learning System
Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System
Elahe Arani
F. Sarfraz
Bahram Zonooz
CLL
166
133
0
29 Jan 2022
Merlion: A Machine Learning Library for Time Series
Merlion: A Machine Learning Library for Time Series
Aadyot Bhatnagar
Paul Kassianik
Chenghao Liu
Tian-Shing Lan
Wenzhuo Yang
...
Yingbo Zhou
Caiming Xiong
Silvio Savarese
Guosheng Lin
Huan Wang
AI4TS
59
34
0
20 Sep 2021
SCINet: Time Series Modeling and Forecasting with Sample Convolution and
  Interaction
SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction
Minhao Liu
Ailing Zeng
Mu-Hwa Chen
Zhijian Xu
Qiuxia Lai
Lingna Ma
Qiang Xu
AI4TS
76
375
0
17 Jun 2021
Dark Experience for General Continual Learning: a Strong, Simple
  Baseline
Dark Experience for General Continual Learning: a Strong, Simple Baseline
Pietro Buzzega
Matteo Boschini
Angelo Porrello
Davide Abati
Simone Calderara
BDLCLL
85
921
0
15 Apr 2020
AR-Net: A simple Auto-Regressive Neural Network for time-series
AR-Net: A simple Auto-Regressive Neural Network for time-series
Oskar Triebe
N. Laptev
Ram Rajagopal
AI4TSAI4CE
70
59
0
27 Nov 2019
Task-Free Continual Learning
Task-Free Continual Learning
Rahaf Aljundi
Klaas Kelchtermans
Tinne Tuytelaars
CLL
129
362
0
10 Dec 2018
Experience Replay for Continual Learning
Experience Replay for Continual Learning
David Rolnick
Arun Ahuja
Jonathan Richard Schwarz
Timothy Lillicrap
Greg Wayne
CLL
116
1,171
0
28 Nov 2018
Learning to Learn without Forgetting by Maximizing Transfer and
  Minimizing Interference
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
Matthew D Riemer
Ignacio Cases
R. Ajemian
Miao Liu
Irina Rish
Y. Tu
Gerald Tesauro
CLL
95
787
0
29 Oct 2018
Gradient Episodic Memory for Continual Learning
Gradient Episodic Memory for Continual Learning
David Lopez-Paz
MarcÁurelio Ranzato
VLMCLL
127
2,725
0
26 Jun 2017
Modeling Long- and Short-Term Temporal Patterns with Deep Neural
  Networks
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks
Guokun Lai
Wei-Cheng Chang
Yiming Yang
Hanxiao Liu
BDLAI4TS
108
2,020
0
21 Mar 2017
1