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Multi-Task Learning

2,582 papers

Papers per year

3
17
30
283
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Papers

Random Fourier Features For Operator-Valued Kernels ACML 2016
A Bayesian Nonparametric Approach for Multi-label Classification ACML 2016
Multitask Principal Component Analysis ACML 2016
A Universal Framework for Inductive Transfer Parsing across Multi-typed Treebanks COLING 2016
A Redundancy-Aware Sentence Regression Framework for Extractive Summarization COLING 2016
Zero-resource Dependency Parsing: Boosting Delexicalized Cross-lingual Transfer with Linguistic Knowledge COLING 2016
Improving historical spelling normalization with bi-directional LSTMs and multi-task learning COLING 2016
Assigning Fine-grained PoS Tags based on High-precision Coarse-grained Tagging COLING 2016
Frustratingly Easy Neural Domain Adaptation COLING 2016
Keystroke dynamics as signal for shallow syntactic parsing COLING 2016
Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention COLING 2016
A Unified Architecture for Semantic Role Labeling and Relation Classification COLING 2016
Distributional Hypernym Generation by Jointly Learning Clusters and Projections COLING 2016
Multi-view and multi-task training of RST discourse parsers COLING 2016
User Classification with Multiple Textual Perspectives COLING 2016
Better call Saul: Flexible Programming for Learning and Inference in NLP COLING 2016
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation CVPR 2016
Instance-Aware Semantic Segmentation via Multi-Task Network Cascades CVPR 2016
CP-mtML: Coupled Projection Multi-Task Metric Learning for Large Scale Face Retrieval CVPR 2016
PPP: Joint Pointwise and Pairwise Image Label Prediction CVPR 2016
Minimum Regret Search for Single- and Multi-Task Optimization ICML 2016
Asymmetric Multi-task Learning Based on Task Relatedness and Loss ICML 2016
Learning from Multiway Data: Simple and Efficient Tensor Regression ICML 2016
Contextual Combinatorial Cascading Bandits ICML 2016
Rich Component Analysis ICML 2016