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REBAR: Retrieval-Based Reconstruction for Time-series Contrastive
  Learning

REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning

1 November 2023
Maxwell A. Xu
Alexander Moreno
Hui Wei
Benjamin M. Marlin
James M. Rehg
    AI4TS
    SSL
ArXivPDFHTML

Papers citing "REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning"

12 / 12 papers shown
Title
Single-Channel EEG Tokenization Through Time-Frequency Modeling
Single-Channel EEG Tokenization Through Time-Frequency Modeling
Jathurshan Pradeepkumar
Xihao Piao
Zheng Chen
Jimeng Sun
45
1
0
22 Feb 2025
Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning
Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning
En Fu
Yanyan Hu
AI4TS
33
0
0
30 Dec 2024
CiTrus: Squeezing Extra Performance out of Low-data Bio-signal Transfer
  Learning
CiTrus: Squeezing Extra Performance out of Low-data Bio-signal Transfer Learning
Eloy Geenjaar
Lie Lu
77
0
0
16 Dec 2024
Towards Time Series Reasoning with LLMs
Towards Time Series Reasoning with LLMs
Winnie Chow
Lauren Gardiner
Haraldur T. Hallgrímsson
Maxwell A. Xu
Shirley You Ren
AI4TS
LRM
31
7
0
17 Sep 2024
Retrieval-Enhanced Machine Learning: Synthesis and Opportunities
Retrieval-Enhanced Machine Learning: Synthesis and Opportunities
To Eun Kim
Alireza Salemi
Andrew Drozdov
Fernando Diaz
Hamed Zamani
56
7
0
17 Jul 2024
Evaluating Large Language Models as Virtual Annotators for Time-series
  Physical Sensing Data
Evaluating Large Language Models as Virtual Annotators for Time-series Physical Sensing Data
Aritra Hota
S. Chatterjee
Sandip Chakraborty
32
11
0
02 Mar 2024
UNITS: A Unified Multi-Task Time Series Model
UNITS: A Unified Multi-Task Time Series Model
Shanghua Gao
Teddy Koker
Owen Queen
Thomas Hartvigsen
Theodoros Tsiligkaridis
Marinka Zitnik
AI4TS
38
15
0
29 Feb 2024
Universal Time-Series Representation Learning: A Survey
Universal Time-Series Representation Learning: A Survey
Patara Trirat
Yooju Shin
Junhyeok Kang
Youngeun Nam
Jihye Na
Minyoung Bae
Joeun Kim
Byunghyun Kim
Jae-Gil Lee
AI4TS
75
15
0
08 Jan 2024
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
117
394
0
03 Feb 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,443
0
11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
317
5,785
0
29 Apr 2021
Image Inpainting for Irregular Holes Using Partial Convolutions
Image Inpainting for Irregular Holes Using Partial Convolutions
Guilin Liu
F. Reda
Kevin J. Shih
Ting-Chun Wang
Andrew Tao
Bryan Catanzaro
142
1,913
0
20 Apr 2018
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