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20192026
most citedTemperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data

7 citations · 16 across the 21 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.CV2021★ 3 cited

Revisiting Consistency Regularization for Semi-Supervised Learning

Yue Fan, Anna Kukleva, Bernt Schiele

Consistency regularization is one of the most widely-used techniques for semi-supervised learning (SSL). Generally, the aim is to train a model that is invariant to various data au…

cs.CV2021

Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting

Anna Kukleva, Hilde Kuehne, Bernt Schiele

Both generalized and incremental few-shot learning have to deal with three major challenges: learning novel classes from only few samples per class, preventing catastrophic forgett…