Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: An Extensive Empirical Study on Semi-supervised Learning
semi - supervised learning literature survey .
Semi-Supervised Classification with Graph Convolutional Networks
Learning from Semi-Supervised Weak-Label Data
Semi-supervised Density-Based Clustering
Inductive Semi-supervised Multi-Label Learning with Co-Training
Online Semi-Supervised Learning with Deep Hybrid Boltzmann Machines and Denoising Autoencoders
Semi-Supervised Dimensionality Reduction
Scalable Multi-View Semi-Supervised Classification via Adaptive Regression
Hierarchical Semi-supervised Classification with Incomplete Class Hierarchies
Compound Embedding Features for Semi-supervised Learning
Semi-Supervised Learning with Multi-View Embedding: Theory and Application with Convolutional Neural Networks
Unsupervised and Semi-Supervised Multi-Class Support Vector Machines
Adaptive Ensembling of Semi-Supervised Clustering Solutions
Graph-based Semi-supervised Learning for Text Classification
A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels
Semi-Supervised Kernel Mean Shift Clustering
Semi-Supervised Text Classification Using EM
Weight-averaged consistency targets improve semi-supervised deep learning results
Deep learning via semi-supervised embedding
Strong Baselines for Neural Semi-supervised Learning under Domain Shift
An architecture for Malay Tweet normalization
Improving Chinese SRL with Heterogeneous Annotations
Learning a kernel matrix for nonlinear dimensionality reduction
A theory of visual attention
Cache-conscious structure layout