research
∙
08/16/2023
Advancing continual lifelong learning in neural information retrieval: definition, dataset, framework, and empirical evaluation
Continual learning refers to the capability of a machine learning model ...
share
research
∙
07/26/2023
Neural-based Cross-modal Search and Retrieval of Artwork
Creating an intelligent search and retrieval system for artwork images, ...
research
∙
07/21/2023
Morphological Image Analysis and Feature Extraction for Reasoning with AI-based Defect Detection and Classification Models
As the use of artificial intelligent (AI) models becomes more prevalent ...
research
∙
07/13/2023
Identifying Early Help Referrals For Local Authorities With Machine Learning And Bias Analysis
Local authorities in England, such as Leicestershire County Council (LCC...
research
∙
11/14/2022
A Bayesian framework for genome-wide inference of DNA methylation levels
DNA methylation is an important epigenetic mark that has been studied ex...
research
∙
08/23/2021
Conditional sequential Monte Carlo in high dimensions
The iterated conditional sequential Monte Carlo (i-CSMC) algorithm from ...
research
∙
07/24/2019
On importance-weighted autoencoders
The importance weighted autoencoder (IWAE) (Burda et al., 2016) is a pop...
research
∙
07/24/2019
On the relationship between variational inference and adaptive importance sampling
The importance weighted autoencoder (IWAE) (Burda et al., 2016) and rewe...
research
∙
07/03/2018
