Lightweight Online Adaption for Time Series Foundation Model Forecasts

18 February 2025

Papers citing "Lightweight Online Adaption for Time Series Foundation Model Forecasts"

32 / 32 papers shown

Title
Performance of Zero-Shot Time Series Foundation Models on Cloud Data William Toner Thomas L. Lee Artjom Joosen Rajkarn Singh Martin Asenov AI4TS 94 2 0 18 Feb 2025
Serverless Cold Starts and Where to Find Them Artjom Joosen Ahmed Hassan Martin Asenov Rajkarn Singh L. N. Darlow Jianfeng Wang Qiwen Deng Adam Barker 51 5 0 08 Oct 2024
DAM: Towards A Foundation Model for Time Series Forecasting L. N. Darlow Qiwen Deng Ahmed Hassan Martin Asenov Rajkarn Singh Artjom Joosen Adam Barker Amos Storkey AI4TS AI4CE 60 3 0 25 Jul 2024
Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt Yi-Fan Zhang Weiqiu Chen Zhaoyang Zhu Dalin Qin Liang Sun Xue Wang Qingsong Wen Zhang Zhang Liang Wang Rong Jin AI4TS 54 2 0 22 Mar 2024
An Analysis of Linear Time Series Forecasting Models William Toner Luke Darlow AI4TS 58 23 0 21 Mar 2024
Foundation Models for Time Series Analysis: A Tutorial and Survey Yuxuan Liang Haomin Wen Yuqi Nie Yushan Jiang Ming Jin Dongjin Song Shirui Pan Qingsong Wen AI4TS AI4CE 111 135 0 21 Mar 2024
Unified Training of Universal Time Series Forecasting Transformers Gerald Woo Chenghao Liu Akshat Kumar Caiming Xiong Silvio Savarese Doyen Sahoo AI4TS 132 188 0 04 Feb 2024
Continual Learning for Large Language Models: A Survey Tongtong Wu Linhao Luo Yuan-Fang Li Shirui Pan Thuy-Trang Vu Gholamreza Haffari CLL LRM KELM 70 107 0 02 Feb 2024
A Survey of Deep Learning and Foundation Models for Time Series Forecasting John A. Miller Mohammed Aldosari Farah Saeed Nasid Habib Barna Subas Rana I. Arpinar Ninghao Liu AI4TS AI4CE 78 20 0 25 Jan 2024
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series Vijay Ekambaram Arindam Jati Pankaj Dayama Sumanta Mukherjee Nam H. Nguyen Wesley M. Gifford Chandra Reddy Jayant Kalagnanam AI4TS VLM 67 24 0 08 Jan 2024
How Does It Function? Characterizing Long-term Trends in Production Serverless Workloads Artjom Joosen Ahmed Hassan Martin Asenov Rajkarn Singh L. N. Darlow Jianfeng Wang Adam Barker 76 43 0 15 Dec 2023
Continual Learning: Applications and the Road Forward Eli Verwimp Rahaf Aljundi Shai Ben-David Matthias Bethge Andrea Cossu ... Joost van de Weijer Bing Liu Vincenzo Lomonaco Tinne Tuytelaars Gido M. van de Ven CLL 62 47 0 20 Nov 2023
A decoder-only foundation model for time-series forecasting Abhimanyu Das Weihao Kong Rajat Sen Yichen Zhou AI4TS AI4CE 62 213 0 14 Oct 2023
Chunking: Continual Learning is not just about Distribution Shift Thomas L. Lee Amos Storkey 48 1 0 03 Oct 2023
FITS: Modeling Time Series with $10k$ Parameters Zhijian Xu Ailing Zeng Qiang Xu AI4TS 42 90 0 06 Jul 2023
Maintaining Plasticity in Deep Continual Learning Shibhansh Dohare J. F. Hernandez-Garcia Parash Rahman A. Rupam Mahmood Richard S. Sutton KELM CLL 48 27 0 23 Jun 2023
Approximate Bayesian Class-Conditional Models under Continuous Representation Shift Thomas L. Lee Amos Storkey BDL 48 3 0 30 May 2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application Liyuan Wang Xingxing Zhang Hang Su Jun Zhu KELM CLL 110 643 0 31 Jan 2023
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers Yuqi Nie Nam H. Nguyen Phanwadee Sinthong Jayant Kalagnanam AIFin AI4TS 60 1,287 0 27 Nov 2022
Continual Learning with Foundation Models: An Empirical Study of Latent Replay O. Ostapenko Timothée Lesort P. Rodríguez Md Rifat Arefin Arthur Douillard Irina Rish Laurent Charlin 65 52 0 30 Apr 2022
Learning Fast and Slow for Online Time Series Forecasting Quang Pham Chenghao Liu Doyen Sahoo Guosheng Lin TTA AI4TS 30 32 0 23 Feb 2022
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification Dominique Mercier Adriano Lucieri Mohsin Munir Andreas Dengel Sheraz Ahmed 23 11 0 29 Nov 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 373 7,600 0 11 Nov 2021
Recent Advances of Continual Learning in Computer Vision: An Overview Haoxuan Qu Hossein Rahmani Li Xu Bryan M. Williams Jun Liu VLM CLL 48 73 0 23 Sep 2021
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting Haixu Wu Jiehui Xu Jianmin Wang Mingsheng Long AI4TS 93 2,168 0 24 Jun 2021
Dynamic Regret of Convex and Smooth Functions Peng Zhao Yu Zhang Lijun Zhang Zhi Zhou 60 102 0 07 Jul 2020
Time Series Forecasting With Deep Learning: A Survey Bryan Lim S. Zohren AI4TS AI4CE 69 1,211 0 28 Apr 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 270 19,824 0 23 Oct 2019
Task-Free Continual Learning Rahaf Aljundi Klaas Kelchtermans Tinne Tuytelaars CLL 109 360 0 10 Dec 2018
Online Learning: A Comprehensive Survey Guosheng Lin Doyen Sahoo Jing Lu P. Zhao OffRL 50 638 0 08 Feb 2018
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 265 7,410 0 02 Dec 2016
Using Fast Weights to Attend to the Recent Past Jimmy Ba Geoffrey E. Hinton Volodymyr Mnih Joel Z Leibo Catalin Ionescu 45 267 0 20 Oct 2016