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07/19/2023
ProtoCaps: A Fast and Non-Iterative Capsule Network Routing Method
Capsule Networks have emerged as a powerful class of deep learning archi...
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06/28/2023
Semantic Positive Pairs for Enhancing Contrastive Instance Discrimination
Self-supervised learning algorithms based on instance discrimination eff...
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10/15/2019
AREA: Adaptive Reference-set Based Evolutionary Algorithm for Multiobjective Optimisation
Population-based evolutionary algorithms have great potential to handle ...
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07/10/2019
Trust-Region Variational Inference with Gaussian Mixture Models
Many methods for machine learning rely on approximate inference from int...
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02/23/2019
Transfer Learning for Non-Intrusive Load Monitoring
Non-intrusive load monitoring (NILM) is a technique to recover source ap...
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10/17/2018
Classification of normal/abnormal heart sound recordings based on multi-domain features and back propagation neural network
This paper aims to classify a single PCG recording as normal or abnormal...
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06/01/2018
Neural Control Variates for Variance Reduction
In statistics and machine learning, approximation of an intractable inte...
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10/30/2015
Latent Bayesian melding for integrating individual and population models
In many statistical problems, a more coarse-grained model may be suitabl...
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10/12/2012