• Publications
  • Influence
FMix: Enhancing Mixed Sample Data Augmentation
TLDR
We propose FMix, an MSDA that uses binary masks obtained by applying a threshold to low frequency images sampled from Fourier space, obtaining new state-of-the-art results on CIFAR-10 and Fashion-MNIST. Expand
  • 18
  • 2
  • PDF
Understanding and Enhancing Mixed Sample Data Augmentation
TLDR
We analyse MixUp, CutMix, and FMix from an information theoretic perspective, characterising learned models in terms of how they progressively compress the input with depth. Expand
  • 8
  • 2
Fair Online Allocation of Perishable Goods and its Application to Electric Vehicle Charging
TLDR
In this paper, we consider an online scheduling problem where a number of agents compete for a perishable resource and a fair allocation needs to be found. Expand
  • 6
  • PDF
Dataset for "Fair Online Allocation of Perishable Goods and its Application to Electric Vehicle Charging"
TLDR
Data supporting the paper: E. Gaspers, A. Mattei, T. Marcu, N. Perez-Diaz, H. Aziz, S. Walsh. Expand
  • 1
Rethinking Generalisation
TLDR
In this paper, a new approach to computing the generalisation performance is presented that assumes the distribution of risks, $\rho(r)$, for a learning scenario is known. Expand
STUDY REGARDING THE SOLAR TRACKERS USED FOR PHOTOVOLTAIC MODULES
This study proposes a study on the sun tracking mechanisms used for increasing the energetic efficiency of the photovoltaic panels, through the automatic optimal positioning of the PV panel inExpand