LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep
Semi-Supervised Classification

LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semi-Supervised Classification

8 June 2021

Angelica I. Aviles-Rivero

Carola-Bibiane Schönlieb

Papers citing "LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semi-Supervised Classification"

6 / 6 papers shown

Title
CRTrack: Low-Light Semi-Supervised Multi-object Tracking Based on Consistency Regularization Zijing Zhao Jianlong Yu Lin Zhang Shunli Zhang 43 0 0 24 Feb 2025
Consistency of semi-supervised learning, stochastic tug-of-war games, and the p-Laplacian Jeff Calder Nadejda Drenska 20 1 0 15 Jan 2024
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning Zhongying Deng Rihuan Ke Carola-Bibiane Schonlieb Angelica I Aviles-Rivero 17 0 0 17 Nov 2022
Poisson Reweighted Laplacian Uncertainty Sampling for Graph-based Active Learning Kevin Miller Jeff Calder 8 6 0 27 Oct 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 221 862 0 15 Oct 2021
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun Marc Finzi Pavel Izmailov A. Wilson 197 243 0 14 Jun 2018