Search Results for author: Zixing Song

Found 3 papers, 2 papers with code

A Survey on Deep Semi-supervised Learning

no code implementations28 Feb 2021 Xiangli Yang, Zixing Song, Irwin King, Zenglin Xu

Deep semi-supervised learning is a fast-growing field with a range of practical applications.

Graph-based Semi-supervised Learning: A Comprehensive Review

1 code implementation26 Feb 2021 Zixing Song, Xiangli Yang, Zenglin Xu, Irwin King

An important class of SSL methods is to naturally represent data as graphs such that the label information of unlabelled samples can be inferred from the graphs, which corresponds to graph-based semi-supervised learning (GSSL) methods.

Graph Embedding

Super Reinforcement Bros: Playing Super Mario Bros with Reinforcement Learning

1 code implementation CUHK Course IERG5350 2020 Nan Zhang, Zixing Song

We plan to apply and adjust some well-known reinforcement learning (RL) algorithms to train an automatic agent to play the 1985 Nintendo game Super Mario Bros under a speedrun rule.


Cannot find the paper you are looking for? You can Submit a new open access paper.