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Found 2 papers, 1 papers with code
Active Learning of Ordinal Embeddings: A User Study on Football Data
We adapt an entropy-based active learning method with recent work from triplet mining to collect easy-to-answer but still informative annotations from human participants and use them to train a deep convolutional network that generalizes to unseen samples.
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series
Explanatory visual interpretation approaches for image, and natural language processing allow domain experts to validate and understand almost any deep learning model.
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