NP-Match: When Neural Processes meet Semi-Supervised Learning

NP-Match: When Neural Processes meet Semi-Supervised Learning

3 July 2022

Thomas Lukasiewicz

Daniela Massiceti

Vladimir Pavlovic

Papers citing "NP-Match: When Neural Processes meet Semi-Supervised Learning"

9 / 9 papers shown

Title
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes Jie Liu Pan Zhou Zehao Xiao Jiayi Shen Wenzhe Yin J. Sonke E. Gavves 25 0 0 03 May 2025
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand OODD 32 1 0 16 Jul 2024
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard E. Turner L. Yao BDL 58 24 0 01 Sep 2022
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 213 848 0 15 Oct 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Y. S. Rawat M. Shah 203 501 0 15 Jan 2021
Improving model calibration with accuracy versus uncertainty optimization R. Krishnan Omesh Tickoo UQCV 172 140 0 14 Dec 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 245 648 0 23 Mar 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015
Statistical exponential families: A digest with flash cards Frank Nielsen Vincent Garcia 80 183 0 25 Nov 2009