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cs.LG2023★ 2 cited
Training trajectories, mini-batch losses and the curious role of the learning rate
Mark Sandler, Andrey Zhmoginov, Max Vladymyrov +1
Stochastic gradient descent plays a fundamental role in nearly all applications of deep learning. However its ability to converge to a global minimum remains shrouded in mystery. I…
cs.LG2023★ 5 cited
Continual HyperTransformer: A Meta-Learner for Continual Few-Shot Learning
Max Vladymyrov, Andrey Zhmoginov, Mark Sandler
We focus on the problem of learning without forgetting from multiple tasks arriving sequentially, where each task is defined using a few-shot episode of novel or already seen class…