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08/23/2023
Less is More – Towards parsimonious multi-task models using structured sparsity
Group sparsity in Machine Learning (ML) encourages simpler, more interpr...
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10/18/2022
Depth Contrast: Self-Supervised Pretraining on 3DPM Images for Mining Material Classification
This work presents a novel self-supervised representation learning metho...
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10/13/2022
Multi-Task Meta Learning: learn how to adapt to unseen tasks
This work aims to integrate two learning paradigms Multi-Task Learning (...
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05/05/2022
Deep Neural Network approaches for Analysing Videos of Music Performances
This paper presents a framework to automate the labelling process for ge...
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03/15/2022
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images
This work presents a novel self-supervised pre-training method to learn ...
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11/23/2021