Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Generative Models from the perspective of Continual Learning
Variational Continual Learning
Learning Dynamic Generator Model by Alternating Back-Propagation Through Time
Learning Deep Generative Models with Doubly Stochastic MCMC
Continuum: A Platform for Cost-Aware, Low-Latency Continual Learning
Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios
Semi-Supervised Learning with Deep Generative Models
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models
Discriminative Regularization for Generative Models
Better Generative Models for Sequential Data Problems: Bidirectional Recurrent Mixture Density Networks
Exploiting Generative Models in Discriminative Classifiers
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling
Self-Supervised Generative Adversarial Networks.
Deep Structured Generative Models
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy
An Architecture for Deep, Hierarchical Generative Models
Learning With Continuous Classes
Task-Free Continual Learning
Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model
Approximation and Convergence Properties of Generative Adversarial Learning
Conditional Generative Adversarial Nets
Performance study of a Green Light Optimized Speed Advisory (GLOSA) application using an integrated cooperative ITS simulation platform
Towards a Generalized Map Algebra: Principles and Data Types
Generative Adversarial Nets
Printing arbitrary meshes with a 5DOF wireframe printer
The small dentigerous cyst. A diagnostic dilemma.