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showing posts for 'unsupervised'

PAIRED: A New Multi-agent Approach for Adversarial Environment Generation

This Google AI blog describes a method for machine learning using paired agents. The gap between the one that did the best and the one that did the worst is regret. That feeling of 'could have done' better is what pushes the 'unsupervised environment design' algorithm towards a better solution. "The...
Source: googleblog.com

Gaining insights with Natural Language Processing of Reddit Data to Evaluate Dermatology Patient Experiences and Therapeutics.

Gaining insights with Natural Language Processing of Reddit Data to Evaluate Dermatology Patient Experiences and Therapeutics. "There is a lack of research studying patient-generated data on Reddit, one of the world’s most popular forums with active users interested in dermatology. Techniques within...
Source: sciencedirect.com

Improving Language Understanding with Unsupervised Learning: We've obtained state-of-the-art results on a suite of diverse

Improving Language Understanding with Unsupervised Learning: We've obtained state-of-the-art results on a suite of diverse language tasks with a scalable, task-agnostic system, which we're also releasing. Our approach is a combination of two existing ideas: transformers and unsupervised pre-training....
Source: openai.com