2 citations · 6 across the 10 of their papers we have counts for
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cs.LG2020
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…
cs.LG2020★ 1 cited
GENNI: Visualising the Geometry of Equivalences for Neural Network Identifiability
Daniel Lengyel, Janith Petangoda, Isak Falk +5
We propose an efficient algorithm to visualise symmetries in neural networks. Typically, models are defined with respect to a parameter space, where non-equal parameters can produc…