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公开(公告)号:US20190244108A1
公开(公告)日:2019-08-08
申请号:US16270681
申请日:2019-02-08
Inventor: Elliot Meyerson , Risto Miikkulainen
CPC classification number: G06N3/084 , G06N3/04 , G06N3/0445 , G06N3/0454
Abstract: A multi-task (MTL) process is adapted to the single-task learning (STL) case, i.e., when only a single task is available for training. The process is formalized as pseudo-task augmentation (PTA), in which a single task has multiple distinct decoders projecting the output of the shared structure to task predictions. By training the shared structure to solve the same problem in multiple ways, PTA simulates the effect of training towards distinct but closely-related tasks drawn from the same universe. Training dynamics with multiple pseudo-tasks strictly subsumes training with just one, and a class of algorithms is introduced for controlling pseudo-tasks in practice.