275 citations · 551 across the 32 of their papers we have counts for
3 papers · 1 filter
Feature Extractor Stacking for Cross-domain Few-shot Learning
Hongyu Wang, Eibe Frank, Bernhard Pfahringer +2
Cross-domain few-shot learning (CDFSL) addresses learning problems where knowledge needs to be transferred from one or more source domains into an instance-scarce target domain wit…
Transfer of Pretrained Model Weights Substantially Improves Semi-Supervised Image Classification
Attaullah Sahito, Eibe Frank, Bernhard Pfahringer
Deep neural networks produce state-of-the-art results when trained on a large number of labeled examples but tend to overfit when small amounts of labeled examples are used for tra…
Better Self-training for Image Classification through Self-supervision
Attaullah Sahito, Eibe Frank, Bernhard Pfahringer
Self-training is a simple semi-supervised learning approach: Unlabelled examples that attract high-confidence predictions are labelled with their predictions and added to the train…