Addressing Concept Shift in Online Time Series Forecasting:
Detect-then-Adapt

Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt

22 March 2024

Liang Sun

Liang Wang

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Papers citing "Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt"

18 / 18 papers shown

Title
Lightweight Online Adaption for Time Series Foundation Model Forecasts Thomas L. Lee William Toner Rajkarn Singh Artjom Joosem Martin Asenov AI4TS 107 1 0 18 Feb 2025
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder Tiexin Qin Shiqi Wang Haoliang Li CML BDL 50 25 0 16 May 2022
Learning Fast and Slow for Online Time Series Forecasting Quang Pham Chenghao Liu Doyen Sahoo Guosheng Lin TTA AI4TS 51 35 0 23 Feb 2022
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting Tian Zhou Ziqing Ma Qingsong Wen Xue Wang Liang Sun Rong Jin AI4TS 254 1,438 0 30 Jan 2022
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation Wendi Li Xiao Yang Weiqing Liu Yingce Xia Jiang Bian DiffM AI4TS 82 56 0 11 Jan 2022
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy Jiehui Xu Haixu Wu Jianmin Wang Mingsheng Long AI4TS 93 504 0 06 Oct 2021
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 273 1,375 0 08 Oct 2020
Dark Experience for General Continual Learning: a Strong, Simple Baseline Pietro Buzzega Matteo Boschini Angelo Porrello Davide Abati Simone Calderara BDL CLL 85 925 0 15 Apr 2020
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder Zhisheng Xiao Qing Yan Y. Amit OODD 165 195 0 06 Mar 2020
Online Continual Learning with Maximally Interfered Retrieval Rahaf Aljundi Lucas Caccia Eugene Belilovsky Massimo Caccia Min Lin Laurent Charlin Tinne Tuytelaars CLL 85 549 0 11 Aug 2019
Task-Free Continual Learning Rahaf Aljundi Klaas Kelchtermans Tinne Tuytelaars CLL 136 362 0 10 Dec 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 194 2,063 0 10 Jul 2018
Latent Space Autoregression for Novelty Detection Davide Abati Angelo Porrello Simone Calderara Rita Cucchiara 122 435 0 04 Jul 2018
Memory Aware Synapses: Learning what (not) to forget Rahaf Aljundi F. Babiloni Mohamed Elhoseiny Marcus Rohrbach Tinne Tuytelaars KELM CLL 87 1,647 0 27 Nov 2017
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction Yao Qin Dongjin Song Haifeng Chen Wei Cheng Guofei Jiang G. Cottrell AI4TS 185 1,241 0 07 Apr 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 176 3,480 0 07 Oct 2016
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 607 12,745 0 11 Dec 2014
Online Learning for Time Series Prediction Oren Anava Elad Hazan Shie Mannor Ohad Shamir AI4TS 64 148 0 27 Feb 2013

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