Weakly supervised learning
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Bringing the Power of Neural Networks to the Problem of Search
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Using machine learning to train information retrieval models — such as Internet search engines — is difficult because it requires so much manually annotated ...

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How we taught Alexa to correct her own defects
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Most of the major advances in artificial intelligence in the past decade, in both industry and academia, have been the result of supervised deep learning, ...

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Learning to segment images without manually segmented training data
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Semantic segmentation is the task of automatically labeling every pixel of a digital image as belonging to one of many classes (person, cat, airplane, ...

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How Yong Jae Lee is advancing the cutting edge of computer vision research
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Making sense of our kaleidoscopic visual world has been a decades-long grand challenge for computer scientists. That’s because there’s so much more to ...

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