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GTC ON-DEMAND

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Abstract:

Much of the progress using deep learning for natural language understanding and natural language generation has relied on building training models with massive labeled datasets. We'll discuss how to approach these problems when massive amounts of labeled data isn't available. Our talk will cover alternative approaches that can be applied for tasks with smaller labeled text data.

Much of the progress using deep learning for natural language understanding and natural language generation has relied on building training models with massive labeled datasets. We'll discuss how to approach these problems when massive amounts of labeled data isn't available. Our talk will cover alternative approaches that can be applied for tasks with smaller labeled text data.

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Topics:
Finance - Deep Learning, AI & Deep Learning Research
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9610
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