Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Solving a Huge Number of Similar Tasks: A Combination of Multi-Task Learning and a Hierarchical Bayesian Approach
Multi-task Learning
Federated Multi-Task Learning
Multilinear Multitask Learning
Hierarchical Bayesian Inference and Recursive Regularization for Large-Scale Classification
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks
A notion of task relatedness yielding provable multiple-task learning guarantees
Learning Task Grouping and Overlap in Multi-task Learning
Optimal Bayesian Transfer Learning
Unifying Multi-Domain Multi-Task Learning: Tensor and Neural Network Perspectives
Identifying beneficial task relations for multi-task learning in deep neural networks
Weighted Task Regularization for Multitask Learning
Distributed Multi-Task Learning with Shared Representation
Probabilistic Low-Rank Multitask Learning
Bayesian models for Large-scale Hierarchical Classification
Integrating low-rank and group-sparse structures for robust multi-task learning
Multi-Task Feature Learning
A convex formulation for learning shared structures from multiple tasks
Kernel-Based Learning of Hierarchical Multilabel Classification Models
Large margin multi-task metric learning
Bayesian multitask inverse reinforcement learning
Effect of Evaluation Threat on Procrastination Behavior
A tunable filter based on miniature SIR coaxial resonators
Genetic diversity of siderophore-producing bacteria of tobacco rhizosphere
Modern network science of neurological disorders
Stock performance modeling using neural networks: a comparative study with regression models