Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing
نویسندگان
چکیده
منابع مشابه
Anytime Neural Networks via Joint Optimization of Auxiliary Losses
We address the problem of anytime prediction in neural networks. An anytime predictor automatically adjusts to and utilizes available test-time budget: it produces a crude initial result quickly and continuously refines the result afterwards. Traditional feed-forward networks achieve state-of-the-art performance on many machine learning tasks, but cannot produce anytime predictions during their...
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ژورنال
عنوان ژورنال: Proceedings of the AAAI Conference on Artificial Intelligence
سال: 2019
ISSN: 2374-3468,2159-5399
DOI: 10.1609/aaai.v33i01.33013812