38 citations · 74 across the 3 of their papers we have counts for
3 papers
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…
Learning to Learn from Weak Supervision by Full Supervision
Mostafa Dehghani, Aliaksei Severyn, Sascha Rothe +1
In this paper, we propose a method for training neural networks when we have a large set of data with weak labels and a small amount of data with true labels. In our proposed model…
Learning to Attend, Copy, and Generate for Session-Based Query Suggestion
Mostafa Dehghani, Sascha Rothe, Enrique Alfonseca +1
Users try to articulate their complex information needs during search sessions by reformulating their queries. To make this process more effective, search engines provide related q…