Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: On the convergence properties of GAN training
Improved Training of Wasserstein GANs
Good Semi-supervised Learning that Requires a Bad GAN
f-GANs in an Information Geometric Nutshell
Geometric GAN
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
Defending Against Adversarial Attacks by Leveraging an Entire GAN
Fisher GAN
Flow-GAN: Bridging implicit and prescribed learning in generative models
Color Constancy by GANs: An Experimental Survey
Ways of Conditioning Generative Adversarial Networks
Pros and Cons of GAN Evaluation Measures
Towards Principled Methods for Training Generative Adversarial Networks
Parametrizing filters of a CNN with a GAN
From Source to Target and Back: Symmetric Bi-Directional Adaptive GAN
Towards Understanding the Dynamics of Generative Adversarial Networks
Generation using Generative Adversarial Training
Analyzing the Training Processes of Deep Generative Models
Coupled Generative Adversarial Nets
A note on maximizing a submodular set function subject to a knapsack constraint
The cardiovascular disease continuum validated: clinical evidence of improved patient outcomes: part I: Pathophysiology and clinical trial evidence (risk factors through stable coronary artery disease).
Building Understanding of Smart City Initiatives
ChunkCast: An Anycast Service for Large Content Distribution
Conditional Image Generation with PixelCNN Decoders