Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Heterogeneous Multi-task Semantic Feature Learning for Classification
Learning with Whom to Share in Multi-task Feature Learning
Leveraging multiple tasks to regularize fine-grained classification
Towards weakly supervised semantic segmentation by means of multiple instance and multitask learning
Deep Convolutional Neural Networks for Multi-instance Multi-task Learning
Instance-Aware Semantic Segmentation via Multi-task Network Cascades
A Tutorial on Multi-Label Learning
Deep Symbolic Representation Learning for Heterogeneous Time-series Classification
Feature hashing for large scale multitask learning
Dynamic Label Propagation for Semi-supervised Multi-class Multi-label Classification
Scalable Multi-View Semi-Supervised Classification via Adaptive Regression
Multi-task deep neural network for multi-label learning
A Tutorial on Multi-Label Classification Techniques
When is multitask learning effective? Semantic sequence prediction under varying data conditions
Multi-modal scene categorization using multi-tasks learning
Inductive Semi-supervised Multi-Label Learning with Co-Training
Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces
Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation
Improving Image Classification Using Semantic Attributes
Support vector machines and Word2vec for text classification with semantic features
Deep structured features for semantic segmentation
A multi-task learning formulation for predicting disease progression
consumer attention to price in social commerce : eye tracking patterns in retail clothing ☆ .
Deaths associated with restraint use in health and social care in the UK. The results of a preliminary survey
Ten-year Experience of Bexarotene Therapy for Cutaneous T-cell Lymphoma in Finland
Onotology-based service discovery for intelligent Big Data analytics