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Contrastive Neural Processes for Self-Supervised Learning
v1v2v3 (latest)

Contrastive Neural Processes for Self-Supervised Learning

Asian Conference on Machine Learning (ACML), 2021
24 October 2021
Konstantinos Kallidromitis
Denis A. Gudovskiy
Kozuka Kazuki
Ohama Iku
Luca Rigazio
    SSLAI4TS
ArXiv (abs)PDFHTMLGithub

Papers citing "Contrastive Neural Processes for Self-Supervised Learning"

9 / 9 papers shown
Correlated Time Series Self-Supervised Representation Learning via
  Spatiotemporal Bootstrapping
Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping
Luxuan Wang
Mengwei He
Ziyue Li
Rui Zhao
Fugee Tsung
AI4TSSSL
235
17
0
12 Jun 2023
Adversarially Contrastive Estimation of Conditional Neural Processes
Adversarially Contrastive Estimation of Conditional Neural Processes
Zesheng Ye
Jing Du
Weitong Chen
UQCV
216
2
0
23 Mar 2023
Label-efficient Time Series Representation Learning: A Review
Label-efficient Time Series Representation Learning: A ReviewIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Emadeldeen Eldele
Mohamed Ragab
Zhenghua Chen
Ruibing Jin
C. Kwoh
Xiaoli Li
AI4TS
524
35
0
13 Feb 2023
The Neural Process Family: Survey, Applications and Perspectives
The Neural Process Family: Survey, Applications and Perspectives
Saurav Jha
Dong Gong
Xuesong Wang
Richard Turner
Weitong Chen
BDL
607
27
0
01 Sep 2022
Utilizing Expert Features for Contrastive Learning of Time-Series
  Representations
Utilizing Expert Features for Contrastive Learning of Time-Series RepresentationsInternational Conference on Machine Learning (ICML), 2022
Manuel Nonnenmacher
Lukas Oldenburg
Ingo Steinwart
David Reeb
AI4TS
232
26
0
23 Jun 2022
Meta-Learning Regrasping Strategies for Physical-Agnostic Objects
Meta-Learning Regrasping Strategies for Physical-Agnostic Objects
Ni Gao
Jingyu Zhang
Ruijie Chen
Ngo Anh Vien
Hanna Ziesche
Gerhard Neumann
378
11
0
23 May 2022
What Matters For Meta-Learning Vision Regression Tasks?
What Matters For Meta-Learning Vision Regression Tasks?Computer Vision and Pattern Recognition (CVPR), 2022
Ni Gao
Hanna Ziesche
Ngo Anh Vien
Michael Volpp
Gerhard Neumann
VLM
212
30
0
09 Mar 2022
Contrastive Conditional Neural Processes
Contrastive Conditional Neural ProcessesComputer Vision and Pattern Recognition (CVPR), 2022
Zesheng Ye
Lina Yao
UQCV
280
15
0
08 Mar 2022
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
1.5K
4,899
0
17 Jun 2020
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