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08/22/2023
Masked Momentum Contrastive Learning for Zero-shot Semantic Understanding
Self-supervised pretraining (SSP) has emerged as a popular technique in ...
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03/22/2023
Variantional autoencoder with decremental information bottleneck for disentanglement
One major challenge of disentanglement learning with variational autoenc...
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10/28/2022
Link Climate: An Interoperable Knowledge Graph Platform for Climate Data
Climate science has become more ambitious in recent years as global awar...
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08/18/2022
A semantic web approach to uplift decentralized household energy data
In a decentralized household energy system comprised of various devices ...
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05/28/2022
Object-wise Masked Autoencoders for Fast Pre-training
Self-supervised pre-training for images without labels has recently achi...
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10/21/2021
Automated Climate Analyses Using Knowledge Graph
The FAIR (Findable, Accessible, Interoperable, Reusable) data principles...
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10/19/2021
An Interoperable Open Data Portal for Climate Analysis
This work proposes an open interoperable data portal that offers access ...
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08/03/2021
Ontology Modeling for Decentralized Household Energy Systems
In a decentralized household energy system consisting of various devices...
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06/06/2021
An Ontology Model for Climatic Data Analysis
Recently ontologies have been exploited in a wide range of research area...
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02/08/2021
DEFT: Distilling Entangled Factors
Disentanglement is a highly desirable property of representation due to ...
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10/17/2020
