Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Semi-Supervised Learning with GANs: Revisiting Manifold Regularization
Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
Semi-Supervised Learning with Deep Generative Models
The GAN Landscape: Losses, Architectures, Regularization, and Normalization
Discriminative Regularization for Generative Models
On GANs and GMMs
Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning
Semi-supervised Learning via Gaussian Processes
Deep discriminative manifold learning
Guiding InfoGAN with Semi-Supervision
Multi-view Vector-valued Manifold Regularization for Multi-label Image Classification
Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction
Manifold Mixup: Learning Better Representations by Interpolating Hidden States
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning
Semi-Supervised Learning Using Gaussian Fields and Harmon ic Functions
An RKHS for multi-view learning and manifold co-regularization
Improved Techniques for Training GANs
How Well Can Generative Adversarial Networks (GAN) Learn Densities: A Nonparametric View
A Classification-Based Perspective on GAN Distributions
Stabilizing GAN Training with Multiple Random Projections
Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization
Closed-Form Expressions for the Equivalent Circuit Model of Square-Waveguide T-Junctions and Its Application in Ortho-Mode Transducer Design
Cluster kernels for semi-supervised learning
implicit slicing method for additive manufacturing processes .
Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images
A 28GHz quadrature fractional-N synthesizer for 5G mobile communication with less than 100fs jitter in 65nm CMOS