SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2951–2975 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
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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