236 citations · 296 across the 11 of their papers we have counts for
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cs.LG2022★ 2 cited
Hierarchical classification at multiple operating points
Jack Valmadre
Many classification problems consider classes that form a hierarchy. Classifiers that are aware of this hierarchy may be able to make confident predictions at a coarse level despit…
cs.LG2022★ 2 cited
On skip connections and normalisation layers in deep optimisation
Lachlan Ewen MacDonald, Jack Valmadre, Hemanth Saratchandran +1
We introduce a general theoretical framework, designed for the study of gradient optimisation of deep neural networks, that encompasses ubiquitous architecture choices including ba…
cs.CV2022★ 1 cited
Learning with Neighbor Consistency for Noisy Labels
Ahmet Iscen, Jack Valmadre, Anurag Arnab +1
Recent advances in deep learning have relied on large, labelled datasets to train high-capacity models. However, collecting large datasets in a time- and cost-efficient manner ofte…