Multi-Task Learning
145 papers
Papers per year
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4
8
16
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23
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Papers
Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection
NeurIPS 2018
Transfer and Multi-Task Learning for Noun–Noun Compound Interpretation
EMNLP 2018
What can we learn from Semantic Tagging?
EMNLP 2018
Active Learning from Peers
NeurIPS 2017
Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction
EMNLP 2017
Multi-Task Learning for Contextual Bandits
NeurIPS 2017
Multi-Task Learning of Keyphrase Boundary Classification
ACL 2017
Deep Neural Network Based Acoustic-to-Articulatory Inversion Using Phone Sequence Information
Interspeech 2016
Rotating Your Face Using Multi-Task Deep Neural Network
CVPR 2015
Deep Joint Task Learning for Generic Object Extraction
NeurIPS 2014
Learning Multiple Tasks in Parallel with a Shared Annotator
NeurIPS 2014
QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models
NeurIPS 2014
Learning Multiple Tasks using Shared Hypotheses
NeurIPS 2012
Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL
NeurIPS 2012
Infinite Latent SVM for Classification and Multi-task Learning
NeurIPS 2011
Online Learning of Multiple Tasks and Their Relationships
AISTATS 2011
A Dirty Model for Multi-task Learning
NeurIPS 2010
Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models
NeurIPS 2010
Heterogeneous multitask learning with joint sparsity constraints
NeurIPS 2009
Clustered Multi-Task Learning: A Convex Formulation
NeurIPS 2008