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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 32

Zero-Shot Learning via Class-Conditioned Deep Generative Models

March 15, 2023

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Published Date: 2018-02-08

Registration: ISSN 2374-3468 (Online) ISSN 2159-5399 (Print)

Copyright: Published by AAAI Press, Palo Alto, California USA Copyright © 2018, Association for the Advancement of Artificial Intelligence All Rights Reserved.

Authors

Wenlin Wang

Duke University


Yunchen Pu

Duke University


Vinay Verma

IIT Kanpur


Kai Fan

Duke University


Yizhe Zhang

Duke University


Changyou Chen

SUNY at Buffalo


Piyush Rai

IIT Kanpur


Lawrence Carin

Duke University


DOI:

10.1609/aaai.v32i1.11600


Abstract:

We present a deep generative model for Zero-Shot Learning (ZSL). Unlike most existing methods for this problem, that represent each class as a point (via a semantic embedding), we represent each seen/unseen class using a class-specific latent-space distribution, conditioned on class attributes. We use these latent-space distributions as a prior for a supervised variational autoencoder (VAE), which also facilitates learning highly discriminative feature representations for the inputs. The entire framework is learned end-to-end using only the seen-class training data. At test time, the label for an unseen-class test input is the class that maximizes the VAE lower bound. We further extend the model to a (i) semi-supervised/transductive setting by leveraging unlabeled unseen-class data via an unsupervised learning module, and (ii) few-shot learning where we also have a small number of labeled inputs from the unseen classes. We compare our model with several state-of-the-art methods through a comprehensive set of experiments on a variety of benchmark data sets.

Topics: AAAI

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HOW TO CITE:

Wenlin Wang||Yunchen Pu||Vinay Verma||Kai Fan||Yizhe Zhang||Changyou Chen||Piyush Rai||Lawrence Carin Zero-Shot Learning via Class-Conditioned Deep Generative Models Proceedings of the AAAI Conference on Artificial Intelligence, 32 (2018) .

Wenlin Wang||Yunchen Pu||Vinay Verma||Kai Fan||Yizhe Zhang||Changyou Chen||Piyush Rai||Lawrence Carin Zero-Shot Learning via Class-Conditioned Deep Generative Models AAAI 2018, .

Wenlin Wang||Yunchen Pu||Vinay Verma||Kai Fan||Yizhe Zhang||Changyou Chen||Piyush Rai||Lawrence Carin (2018). Zero-Shot Learning via Class-Conditioned Deep Generative Models. Proceedings of the AAAI Conference on Artificial Intelligence, 32, .

Wenlin Wang||Yunchen Pu||Vinay Verma||Kai Fan||Yizhe Zhang||Changyou Chen||Piyush Rai||Lawrence Carin. Zero-Shot Learning via Class-Conditioned Deep Generative Models. Proceedings of the AAAI Conference on Artificial Intelligence, 32 2018 p..

Wenlin Wang||Yunchen Pu||Vinay Verma||Kai Fan||Yizhe Zhang||Changyou Chen||Piyush Rai||Lawrence Carin. 2018. Zero-Shot Learning via Class-Conditioned Deep Generative Models. "Proceedings of the AAAI Conference on Artificial Intelligence, 32". .

Wenlin Wang||Yunchen Pu||Vinay Verma||Kai Fan||Yizhe Zhang||Changyou Chen||Piyush Rai||Lawrence Carin. (2018) "Zero-Shot Learning via Class-Conditioned Deep Generative Models", Proceedings of the AAAI Conference on Artificial Intelligence, 32, p.

Wenlin Wang||Yunchen Pu||Vinay Verma||Kai Fan||Yizhe Zhang||Changyou Chen||Piyush Rai||Lawrence Carin, "Zero-Shot Learning via Class-Conditioned Deep Generative Models", AAAI, p., 2018.

Wenlin Wang||Yunchen Pu||Vinay Verma||Kai Fan||Yizhe Zhang||Changyou Chen||Piyush Rai||Lawrence Carin. "Zero-Shot Learning via Class-Conditioned Deep Generative Models". Proceedings of the AAAI Conference on Artificial Intelligence, 32, 2018, p..

Wenlin Wang||Yunchen Pu||Vinay Verma||Kai Fan||Yizhe Zhang||Changyou Chen||Piyush Rai||Lawrence Carin. "Zero-Shot Learning via Class-Conditioned Deep Generative Models". Proceedings of the AAAI Conference on Artificial Intelligence, 32, (2018): .

Wenlin Wang||Yunchen Pu||Vinay Verma||Kai Fan||Yizhe Zhang||Changyou Chen||Piyush Rai||Lawrence Carin. Zero-Shot Learning via Class-Conditioned Deep Generative Models. AAAI[Internet]. 2018[cited 2023]; .


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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