Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: A Tutorial on Multi-Label Learning
A Review on Multi-Label Learning Algorithms
Learning from Partial Labels
MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks with Privileged Information
Multilabel Classification through Structured Output Learning - Methods and Applications
Scalable Generative Models for Multi-label Learning with Missing Labels
Fully Associative Ensemble Learning for Hierarchical Multi-Label Classification.
Hierarchical multi-label classification with chained neural networks
Weak-Labeled Active Learning With Conditional Label Dependence for Multilabel Image Classification
Feature Selection for Multi-label Classification Problems
Graph-based semi-supervised learning with multiple labels
Hierarchical Multi-label Classification using Fully Associative Ensemble Learning
Scalable multi-label annotation
Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification
Ml-rbf: RBF Neural Networks for Multi-Label Learning
Classifier chains for multi-label classification
Multilabel classification with label correlations and missing labels
Learning multi-label scene classification
Random k-Labelsets for Multilabel Classification
Learning Deep Latent Spaces for Multi-Label Classification
Semi-supervised Multitask Learning for Sequence Labeling
Vascular calcification: from pathophysiology to biomarkers
do amnesics exhibit cognitive dissonance reduction ? the role of explicit memory and attention in attitude change .
A Theory of Sequence Indexing and Working Memory in Recurrent Neural Networks
Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life
A comparison of event models for Naive Bayes text classification