Efficient end-to-end learning for quantizable representations

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Efficient end-to-end learning for quantizable representations

15 May 2018

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Papers citing "Efficient end-to-end learning for quantizable representations"

7 / 7 papers shown

Title
Learning Sparsity of Representations with Discrete Latent Variables Zhao Xu Daniel Oñoro-Rubio G. Serra Mathias Niepert 41 0 0 03 Apr 2023
Discond-VAE: Disentangling Continuous Factors from the Discrete Jaewoong Choi Geonho Hwang Myung-joo Kang CoGe CML 47 4 0 17 Sep 2020
Minimizing FLOPs to Learn Efficient Sparse Representations Biswajit Paria Chih-Kuan Yeh Ian En-Hsu Yen N. Xu Pradeep Ravikumar Barnabás Póczós 82 69 0 12 Apr 2020
Adapting Grad-CAM for Embedding Networks Lei Chen Jianhui Chen Hossein Hajimirsadeghi Greg Mori 73 57 0 17 Jan 2020
Discrete Infomax Codes for Supervised Representation Learning Yoonho Lee Wonjae Kim Wonpyo Park Seungjin Choi 57 4 0 28 May 2019
Learning Discrete and Continuous Factors of Data via Alternating Disentanglement Yeonwoo Jeong Hyun Oh Song 53 49 0 23 May 2019
End-to-End Efficient Representation Learning via Cascading Combinatorial Optimization Yeonwoo Jeong Yoonsung Kim Hyun Oh Song 18 1 0 28 Feb 2019

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