38 citations · 146 across the 18 of their papers we have counts for
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cs.LG2017★ 29 cited
Avoiding Your Teacher's Mistakes: Training Neural Networks with Controlled Weak Supervision
Mostafa Dehghani, Aliaksei Severyn, Sascha Rothe +1
Training deep neural networks requires massive amounts of training data, but for many tasks only limited labeled data is available. This makes weak supervision attractive, using we…
cs.LG2017★ 7 cited
Fidelity-Weighted Learning
Mostafa Dehghani, Arash Mehrjou, Stephan Gouws +2
Training deep neural networks requires many training samples, but in practice training labels are expensive to obtain and may be of varying quality, as some may be from trusted exp…