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10/10/2022
Is your noise correction noisy? PLS: Robustness to label noise with two stage detection
Designing robust algorithms capable of training accurate neural networks...
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07/04/2022
Embedding contrastive unsupervised features to cluster in- and out-of-distribution noise in corrupted image datasets
Using search engines for web image retrieval is a tempting alternative t...
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04/20/2022
Utilizing unsupervised learning to improve sward content prediction and herbage mass estimation
Sward species composition estimation is a tedious one. Herbage must be c...
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04/18/2022
Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation
Herbage mass yield and composition estimation is an important tool for d...
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10/27/2021
How Important is Importance Sampling for Deep Budgeted Training?
Long iterative training processes for Deep Neural Networks (DNNs) are co...
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10/26/2021
Semi-supervised dry herbage mass estimation using automatic data and synthetic images
Monitoring species-specific dry herbage biomass is an important aspect o...
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10/26/2021
Addressing out-of-distribution label noise in webly-labelled data
A recurring focus of the deep learning community is towards reducing the...
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01/08/2021
Extracting Pasture Phenotype and Biomass Percentages using Weakly Supervised Multi-target Deep Learning on a Small Dataset
The dairy industry uses clover and grass as fodder for cows. Accurate es...
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12/08/2020
Multi-Objective Interpolation Training for Robustness to Label Noise
Deep neural networks trained with standard cross-entropy loss memorize n...
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07/23/2020
ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning
Reducing the amount of labels required to trainconvolutional neural netw...
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12/18/2019
Towards Robust Learning with Different Label Noise Distributions
Noisy labels are an unavoidable consequence of automatic image labeling ...
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08/08/2019
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
Semi-supervised learning, i.e. jointly learning from labeled an unlabele...
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04/25/2019
