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cs.LG2023
MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations
Calum Heggan, Tim Hospedales, Sam Budgett +1
Contrastive self-supervised learning has gained attention for its ability to create high-quality representations from large unlabelled data sets. A key reason that these powerful f…
cs.LG2023★ 1 cited
Evaluation Metrics for DNNs Compression
Abanoub Ghobrial, Samuel Budgett, Dieter Balemans +3
There is a lot of ongoing research effort into developing different techniques for neural networks compression. However, the community lacks standardised evaluation metrics, which…