Generalizing semi-supervised generative adversarial networks to regression using feature contrasting

27 November 2018

Papers citing "Generalizing semi-supervised generative adversarial networks to regression using feature contrasting"

7 / 7 papers shown

Title
Mixed Semi-Supervised Generalized-Linear-Regression with applications to Deep-Learning and Interpolators Yuval Oren Saharon Rosset 21 1 0 19 Feb 2023
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 56 95 0 01 Jul 2021
On the potential of sequential and non-sequential regression models for Sentinel-1-based biomass prediction in Tanzanian miombo forests Sara Björk S. N. Anfinsen E. Næsset T. Gobakken Eliakimu Zahabu 27 7 0 21 Jun 2021
A Survey on Deep Learning-based Single Image Crowd Counting: Network Design, Loss Function and Supervisory Signal Haoyue Bai Jiageng Mao Shueng-Han Gary Chan 44 22 0 31 Dec 2020
Active Crowd Counting with Limited Supervision Zhen Zhao Miaojing Shi Xiaoxiao Zhao Li Li 27 47 0 13 Jul 2020
CNN-based Density Estimation and Crowd Counting: A Survey Guangshuai Gao Junyu Gao Qingjie Liu Qi. Wang Yunhong Wang 24 154 0 28 Mar 2020
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 239 7,916 0 13 Jun 2015