Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Hierarchical Active Transfer Learning.
Hierarchical sampling for active learning
Active Learning from Data Streams
Distribution Aware Active Learning
Towards scalable dataset construction: An active learning approach
Domain Invariant Transfer Kernel Learning
Stratified Transfer Learning for Cross-domain Activity Recognition
Does active learning work? A review of the research
From N to N+1: Multiclass Transfer Incremental Learning
Active learning literature survey
Active Learning with Partial Feedback
Non-uniform Subset Selection for Active Learning in Structured Data
Transfer learning for activity recognition: a survey
Relational Active Learning for Joint Collective Classification Models
Two-Dimensional Active Learning for image classification
Adaptive Learning Algorithms for Transferable Visual Recognition
Learning Categories From Few Examples With Multi Model Knowledge Transfer
Active Learning from Relative Queries
What makes ImageNet good for transfer learning?
Multi-label active learning: query type matters
A weighted-resampling based transfer learning algorithm
A Capacitor-DAC-Based Technique For Pre-Emphasis-Enabled Multilevel Transmitters
Active Imitation Learning via Reduction to I.I.D. Active Learning
Integrating structured biological data by kernel maximum mean discrepancy
Community-acquired necrotizing pneumonia due to methicillin-sensitive Staphylococcus aureus secreting Panton-Valentine leukocidin: a review of case reports
The Influence of Task-Irrelevant Music on Language Processing: Syntactic and Semantic Structures