100 citations · 188 across the 40 of their papers we have counts for
3 papers · 1 filter
Iterative label cleaning for transductive and semi-supervised few-shot learning
Michalis Lazarou, Tania Stathaki, Yannis Avrithis
Few-shot learning amounts to learning representations and acquiring knowledge such that novel tasks may be solved with both supervision and data being limited. Improved performance…
Asymmetric metric learning for knowledge transfer
Mateusz Budnik, Yannis Avrithis
Knowledge transfer from large teacher models to smaller student models has recently been studied for metric learning, focusing on fine-grained classification. In this work, focusin…
Few-Shot Few-Shot Learning and the role of Spatial Attention
Yann Lifchitz, Yannis Avrithis, Sylvaine Picard
Few-shot learning is often motivated by the ability of humans to learn new tasks from few examples. However, standard few-shot classification benchmarks assume that the representat…