1.2k citations · 3.4k across the 52 of their papers we have counts for
Showing 2017 · cs.LGShow all
2 papers · 2 filters
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…