3.7k citations · 11.8k across the 85 of their papers we have counts for
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cs.CV2017
Low-shot learning with large-scale diffusion
Matthijs Douze, Arthur Szlam, Bharath Hariharan +1
This paper considers the problem of inferring image labels from images when only a few annotated examples are available at training time. This setup is often referred to as low-sho…
cs.CV2017★ 7 cited
Hard Mixtures of Experts for Large Scale Weakly Supervised Vision
Sam Gross, Marc'Aurelio Ranzato, Arthur Szlam
Training convolutional networks (CNN's) that fit on a single GPU with minibatch stochastic gradient descent has become effective in practice. However, there is still no effective m…