Avoiding Your Teacher's Mistakes: Training Neural Networks with Controlled Weak Supervision

1 Nov 2017Mostafa DehghaniAliaksei SeverynSascha RotheJaap Kamps

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 weak or noisy signals like the output of heuristic methods or user click-through data for training... (read more)

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