357 citations · 372 across the 2 of their papers we have counts for
2 papers
stat.ML2017★ 357 cited
Towards Principled Methods for Training Generative Adversarial Networks
Martin Arjovsky, Léon Bottou
The goal of this paper is not to introduce a single algorithm or method, but to make theoretical steps towards fully understanding the training dynamics of generative adversarial n…
cs.AI2014★ 15 cited
ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems
Patrice Simard, David Chickering, Aparna Lakshmiratan +7
Quick interaction between a human teacher and a learning machine presents numerous benefits and challenges when working with web-scale data. The human teacher guides the machine to…