Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: regularized distance metric learning : theory and algorithm .
Distance Metric Learning for Large Margin Nearest Neighbor Classification
Deep metric learning using Triplet network
Unbiased Metric Learning: On the Utilization of Multiple Datasets and Web Images for Softening Bias
Bregman Divergence-Based Regularization for Transfer Subspace Learning
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer
Probably Approximately Metric-Fair Learning
Large margin multi-task metric learning
A Regularization Approach to Learning Task Relationships in Multitask Learning
On the Surprising Behavior of Distance Metrics in High Dimensional Spaces
Cross-Domain Metric and Multiple Kernel Learning Based on Information Theory
Distance Metric Learning Using Privileged Information for Face Verification and Person Re-Identification
Deep Relative Distance Learning: Tell the Difference between Similar Vehicles
Structured learning of metric ensembles with application to person re-identification
Simple, robust, scalable semi-supervised learning via expectation regularization
Metric Learning with Adaptive Density Discrimination
A loss function for classification based on a robust similarity metric
Fairness-aware Learning through Regularization Approach
Online pairwise learning algorithms with convex loss functions
Duplex Metric Learning for Image Set Classification
Gromov-wasserstein averaging of kernel and distance matrices
The information bottleneck method
Coupled Generative Adversarial Networks
Container-Based Orchestration in Cloud: State of the Art and Challenges
Support Vector Machine Technique for the Short Term Prediction of Travel Time
An Architecture of Dynamically Adaptive PHP-based Web Applications