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Multi-Task Learning

Multi-task learning aims to learn multiple different tasks simultaneously while maximizing performance on one or all of the tasks.

( Image credit: Cross-stitch Networks for Multi-task Learning )

Papers

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Showing 2951–3000 of 3687 papers

TitleStatusHype
Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data—0
Learning to segment microscopy images with lazy labels—0
3D Instance Segmentation via Multi-Task Metric Learning—0
Better transfer learning with inferred successor maps—0
Improving Sentiment Analysis with Multi-task Learning of NegationCode0
Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors—0
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment AnalysisCode1
A Multi-Task Architecture on Relevance-based Neural Query Translation—0
Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and VideosCode0
Delving into 3D Action Anticipation from Streaming Videos—0
Variational Federated Multi-Task Learning—0
Multitask Learning for Network Traffic ClassificationCode0
Continual and Multi-Task Architecture SearchCode0
CDPM: Convolutional Deformable Part Models for Semantically Aligned Person Re-identification—0
DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain—0
UniDual: A Unified Model for Image and Video Understanding—0
Evolving Losses for Unlabeled Video Representation Learning—0
Visual Person Understanding through Multi-Task and Multi-Dataset Learning—0
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph ClassificationCode0
Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning—0
Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in TextsCode1
Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First StrategiesCode0
Multi-Task Learning for Audio Visual Active Speaker Detection—0
HLT@SUDA at SemEval-2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing—0
Columbia at SemEval-2019 Task 7: Multi-task Learning for Stance Classification and Rumour Verification—0
Modeling Personal Biases in Language Use by Inducing Personalized Word Embeddings—0
SC-LSTM: Learning Task-Specific Representations in Multi-Task Learning for Sequence Labeling—0
UHH-LT at SemEval-2019 Task 6: Supervised vs. Unsupervised Transfer Learning for Offensive Language Detection—0
Stance Detection in Code-Mixed Hindi-English Social Media Data using Multi-Task Learning—0
Phylogenic Multi-Lingual Dependency Parsing—0
Weakly Supervised Image Classification Through Noise Regularization—0
Does Learning Specific Features for Related Parts Help Human Pose Estimation?—0
Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations—0
Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding ApproachCode0
Cyclic Guidance for Weakly Supervised Joint Detection and SegmentationCode0
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse DomainsCode0
Non-linear Multitask Learning with Deep Gaussian Processes—0
Gaining Extra Supervision via Multi-task learning for Multi-Modal Video Question Answering—0
DSReg: Using Distant Supervision as a Regularizer—0
Leveraging Medical Visual Question Answering with Supporting Facts—0
CIF: Continuous Integrate-and-Fire for End-to-End Speech RecognitionCode1
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network—0
Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction—0
Multitask Learning of Temporal Connectionism in Convolutional Networks using a Joint Distribution Loss Function to Simultaneously Identify Tools and Phase in Surgical Videos—0
Which Tasks Should Be Learned Together in Multi-task Learning?Code0
A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels—0
Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad CreativeCode0
Personalized Student Stress Prediction with Deep Multi-Task Network—0
Learning Cancer Outcomes from Heterogeneous Genomic Data Sources: An Adversarial Multi-task Learning Approach—0
LEAF: A Benchmark for Federated Settings—0
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All datasetsQM9Cityscapes testNYUv2OMNIGLOTCelebAUTKFacewireframe dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PCGrad∆m%125.7—Unverified
2CAGrad∆m%112.8—Unverified
3IMTL-G∆m%77.2—Unverified
4Nash-MTL∆m%62—Unverified
5BayesAgg-MTL∆m%53.7—Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLmIoU76.41—Unverified
2Nash-MTLmIoU75.41—Unverified
3MultiObjectiveOptimizationmIoU66.63—Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLMean IoU58.14—Unverified
2Nash-MTLMean IoU40.13—Unverified
#ModelMetricClaimedVerifiedStatus
1Gumbel-Matrix RoutingAverage Accuracy93.52—Unverified
2Mixture-of-ExpertsAverage Accuracy92.19—Unverified
#ModelMetricClaimedVerifiedStatus
1MGDA-UBError8.25—Unverified
#ModelMetricClaimedVerifiedStatus
1BayesAgg-MTLdelta_m-2.23—Unverified
#ModelMetricClaimedVerifiedStatus
1LETRFH83.3—Unverified