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zero-shot-learning

Zero shot learning is the problem of classification when the test data contains data from classes that have not been seen during training time. This project extends the work of Verma and Rai, a simple generative framework, which is based on estimating class-attributed-gated class condition distributions.

-Abhibhav Garg, Prannay Khosla, Soumye Singhal

-Piyush Rai

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Course Project for CS772(Probabilistic Machine Learning), Fall 2017, IIT Kanpur, offered by Professor Piyush Rai

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