24.4k citations · 25.5k across the 8 of their papers we have counts for
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cs.LG2017★ 246 cited
Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models
Sergey Ioffe
Batch Normalization is quite effective at accelerating and improving the training of deep models. However, its effectiveness diminishes when the training minibatches are small, or…
cs.CV2017★ 58 cited
No Fuss Distance Metric Learning using Proxies
Yair Movshovitz-Attias, Alexander Toshev, Thomas K. Leung +2
We address the problem of distance metric learning (DML), defined as learning a distance consistent with a notion of semantic similarity. Traditionally, for this problem supervisio…