32 citations · 69 across the 7 of their papers we have counts for
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stat.ML2019★ 32 cited
Small-GAN: Speeding Up GAN Training Using Core-sets
Samarth Sinha, Han Zhang, Anirudh Goyal +3
Recent work by Brock et al. (2018) suggests that Generative Adversarial Networks (GANs) benefit disproportionately from large mini-batch sizes. Unfortunately, using large batches i…
cs.LG2019
Variational Adversarial Active Learning
Samarth Sinha, Sayna Ebrahimi, Trevor Darrell
Active learning aims to develop label-efficient algorithms by sampling the most representative queries to be labeled by an oracle. We describe a pool-based semi-supervised active l…