Non-Exhaustive Learning Using Gaussian Mixture Generative Adversarial
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Non-Exhaustive Learning Using Gaussian Mixture Generative Adversarial Networks

28 June 2021

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Papers citing "Non-Exhaustive Learning Using Gaussian Mixture Generative Adversarial Networks"

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Title
Large-Scale Long-Tailed Recognition in an Open World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu 151 1,163 0 10 Apr 2019
C2AE: Class Conditioned Auto-Encoder for Open-set Recognition Poojan Oza Vishal M. Patel 117 324 0 02 Apr 2019
Adversarially Learned Anomaly Detection Houssam Zenati Manon Romain Chuan-Sheng Foo Bruno Lecouat V. Chandrasekhar GAN 74 403 0 06 Dec 2018
Recent Advances in Open Set Recognition: A Survey Chuanxing Geng Sheng-Jun Huang Songcan Chen BDL ObjD 141 771 0 21 Nov 2018
Learning a Neural-network-based Representation for Open Set Recognition Mehadi Hassen P. Chan 44 115 0 12 Feb 2018
Generative OpenMax for Multi-Class Open Set Classification Zongyuan Ge S. Demyanov Zetao Chen R. Garnavi VLM 64 386 0 24 Jul 2017
Asynchrony begets Momentum, with an Application to Deep Learning Jeff Donahue Philipp Krahenbuhl Stefan Hadjis Christopher Ré 92 142 0 31 May 2016
Zero-Shot Learning Through Cross-Modal Transfer R. Socher M. Ganjoo Hamsa Sridhar Osbert Bastani Christopher D. Manning A. Ng BDL VLM 124 1,469 0 16 Jan 2013