Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: On Contrastive Divergence Learning
Training Products of Experts by Minimizing Contrastive Divergence
Unsupervised learning with contrastive latent variable models
Approximation and Convergence Properties of Generative Adversarial Learning
Which Training Methods for GANs do actually Converge?
Quantitatively Evaluating GANs With Divergences Proposed for Training
Bayesian Learning via Stochastic Gradient Langevin Dynamics
Stochastic Difference of Convex Algorithm and its Application to Training Deep Boltzmann Machines
Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems
Equivalence of Backpropagation and Contrastive Hebbian Learning in a Layered Network
Natural Gradient Works Efficiently in Learning
Learning to learn by gradient descent by gradient descent
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys
An adaptive learning rate for stochastic variational inference
Contrastive Hebbian Learning with Random Feedback Weights
Neural Conditional Gradients
Learning to Learn without Gradient Descent by Gradient Descent
Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields
Approximating the Kullback Leibler Divergence Between Gaussian Mixture Models
Improved Gradient-Based Optimization Over Discrete Distributions
Bayesian Gradient Descent: Online Variational Bayes Learning with Increased Robustness to Catastrophic Forgetting and Weight Pruning
Using Generative Models for Handwritten Digit Recognition
spatio - temporal graph convolutional networks : a deep learning framework for traffic forecasting .
Electronic patient portals: evidence on health outcomes, satisfaction, efficiency, and attitudes: a systematic review.
Mutual Information in Learning Feature Transformations
Prostaglandin F2α promotes ovulation in prepubertal heifers