The Lottery Ticket Hypothesis and value-based Deep Reinforcement
The Lottery Ticket Hypothesis and value-based Deep Reinforcement
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The original lottery ticket hypothesis posits that neural networks used in practice contain sparse subnetworks that are capable of training from
In parallel, work on the lottery ticket hypothesis has shown that models for NLP and computer vision contain smaller matching subnetworks capable of training in Highlights • Lottery ticket hypothesis is systematically studied in few-shot learning scenarios for the first time • Transferability and
bhagyalaxmi lottery online Lottery Ticket Hypothesis The lottery ticket hypothesis is first studied by Frankle et al Frankle and Carbin It claims that The Lottery Ticket Hypothesis: “dense, randomly-initialized, feed-forward networks contain subnetworks that—when trained