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

Title
Learning Sparsity of Representations with Discrete Latent VariablesIEEE International Joint Conference on Neural Network (IJCNN), 2021 Zhao Xu Daniel Oñoro-Rubio G. Serra Mathias Niepert 130 0 0 03 Apr 2023
Discond-VAE: Disentangling Continuous Factors from the Discrete Jaewoong Choi Geonho Hwang Myung-joo Kang CoGe CML 141 6 0 17 Sep 2020
Minimizing FLOPs to Learn Efficient Sparse RepresentationsInternational Conference on Learning Representations (ICLR), 2020 Biswajit Paria Chih-Kuan Yeh Ian En-Hsu Yen N. Xu Pradeep Ravikumar Barnabás Póczós 149 77 0 12 Apr 2020
Adapting Grad-CAM for Embedding NetworksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020 Lei Chen Jianhui Chen Hossein Hajimirsadeghi Greg Mori 177 63 0 17 Jan 2020
Discrete Infomax Codes for Supervised Representation LearningEntropy (Entropy), 2019 Yoonho Lee Wonjae Kim Wonpyo Park Seungjin Choi 190 4 0 28 May 2019
Learning Discrete and Continuous Factors of Data via Alternating DisentanglementInternational Conference on Machine Learning (ICML), 2019 Yeonwoo Jeong Hyun Oh Song 93 50 0 23 May 2019
End-to-End Efficient Representation Learning via Cascading Combinatorial OptimizationComputer Vision and Pattern Recognition (CVPR), 2019 Yeonwoo Jeong Yoonsung Kim Hyun Oh Song 95 1 0 28 Feb 2019