Sample Probing
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Most implemented papers
Closed-form Sample Probing for Learning Generative Models in Zero-shot Learning
In our approach, at each generative model update step, we fit a task-specific closed-form ZSL model from generated samples, and measure its loss on novel samples all within the compute graph, a procedure that we refer to as sample probing.