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Multi-Task Learning

955 directly classified papers

Papers per year

Papers

Context and Attribute Grounded Dense Captioning CVPR 2019
Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning CVPR 2019
Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification CVPR 2019
Fitting Multiple Heterogeneous Models by Multi-Class Cascaded T-Linkage CVPR 2019
Seamless Scene Segmentation CVPR 2019
Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training CVPR 2019
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields CVPR 2019
Learning Personalized Modular Network Guided by Structured Knowledge CVPR 2019
Spatial-Aware Graph Relation Network for Large-Scale Object Detection CVPR 2019
Joint Face Detection and Facial Motion Retargeting for Multiple Faces CVPR 2019
CrossInfoNet: Multi-Task Information Sharing Based Hand Pose Estimation CVPR 2019
Multi-Task Learning of Hierarchical Vision-Language Representation CVPR 2019
An End-To-End Network for Generating Social Relationship Graphs CVPR 2019
Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset CVPR 2019
Weakly Supervised Image Classification Through Noise Regularization CVPR 2019
Improving Action Localization by Progressive Cross-Stream Cooperation CVPR 2019
Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference AAAI 2019
Learning from Web Data Using Adversarial Discriminative Neural Networks for Fine-Grained Classification AAAI 2019
SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning AAAI 2019
Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes NIPS 2019
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer NIPS 2019
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation NIPS 2019
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices NIPS 2019
Glyce: Glyph-vectors for Chinese Character Representations NIPS 2019
QE BERT: Bilingual BERT Using Multi-task Learning for Neural Quality Estimation ACL 2019