Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Semi-Supervised Learning with Generative Adversarial Networks
Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
Semi and Weakly Supervised Semantic Segmentation Using Generative Adversarial Network
Semi-supervised learning using label mean
Semi-Supervised Learning via New Deep Network Inversion
Empowering Imbalanced Data in Supervised Learning: A Semi-supervised Learning Approach
A discriminative model for semi-supervised learning
Dual Discriminator Generative Adversarial Nets
Maximum-Likelihood Augmented Discrete Generative Adversarial Networks
Adversarial Learning for Semi-Supervised Semantic Segmentation
AdaGAN: Boosting Generative Models
Sampling Generative Networks: Notes on a Few Effective Techniques
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Effective data generation for imbalanced learning using conditional generative adversarial networks
Bayesian Conditional Generative Adverserial Networks
Pseudo-Label : The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks
Semi-supervised learning with very few labeled training examples
Disentangled Variational Auto-Encoder for Semi-supervised Learning
Online Semi-Supervised Learning with Deep Hybrid Boltzmann Machines and Denoising Autoencoders
NIPS 2016 Tutorial: Generative Adversarial Networks
Temporal Ensembling for Semi-Supervised Learning
Sparse Feature Fidelity for Perceptual Image Quality Assessment
Machine Learning Applied to Weather Forecasting
3D Shape Reconstruction from a Single 2D Image via 2D-3D Self-Consistency
Kernel Methods for Pattern Analysis
Real-time recording and classification of eye movements in an immersive virtual environment