Closed-form Sample Probing for Learning Generative Models in Zero-shot Learning

1 code implementation • ICLR 2022 • Samet Cetin, Orhun Buğra Baran, Ramazan Gokberk Cinbis

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.

Generalized Zero-Shot Learning Sample Probing