Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Continual Learning in Generative Adversarial Nets
Conditional Generative Adversarial Nets
A Style-Based Generator Architecture for Generative Adversarial Networks
Maximum-Likelihood Augmented Discrete Generative Adversarial Networks
Which Training Methods for GANs do actually Converge?
Adversarial Training Versus Weight Decay
Mode Regularized Generative Adversarial Networks
Least Squares Generative Adversarial Networks
End-to-End Incremental Learning
Dual Discriminator Generative Adversarial Nets
How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary?
On the Discrimination-Generalization Tradeoff in GANs
Wasserstein Generative Adversarial Network
Generative Adversarial Examples
Toward Continual Learning for Conversational Agents
Wasserstein Generative Adversarial Networks
Partial Transfer Learning with Selective Adversarial Networks
End-to-End Differentiable Adversarial Imitation Learning
Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines
ACtuAL: Actor-Critic Under Adversarial Learning
Student's t-Generative Adversarial Networks
An overview of gradient descent optimization algorithms
Cyber forensics framework for big data analytics in IoT environment using machine learning
Glucagon-like peptide 1 (GLP-1) drives postprandial hyperinsulinemic hypoglycemia in pregnant women with a history of Roux-en-Y gastric bypass operation.
Fast K-means for Large Scale Clustering
Modeling and Solving Human-Robot Collaborative Tasks Using POMDPs