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About Co-Training For Demographic Classification Using Deep Learning From Label Proportions
This document proposes a new method for training deep neural networks using label proportions rather than individual labeled examples. It introduces a "Batch Averager" layer that can convert a supervised deep learning model to a model that learns from label proportions. The method is compatible with most deep learning frameworks and can readily convert existing supervised models. Experimental results on demographic classification tasks using Twitter data show the deep learning from label proportions approach outperforms baselines when using text or image features separately. A co-training algorithm is also proposed that further improves accuracy by generating additional training data from unlabeled examples.
Detailed Information
| Author: | ['sharma785'] |
|---|---|
| Publication Year: | 2018 |
| Pages: | 10 |
| Language: | English |
| Format: | |
| Price: | FREE |
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