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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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1501–1525 of 3687 papers

TitleStatusHype
AuxNet: Auxiliary tasks enhanced Semantic Segmentation for Automated Driving—0
A Multi-Task Learning Framework for COVID-19 Monitoring and Prediction of PPE Demand in Community Health Centres—0
DiGrad: Multi-Task Reinforcement Learning with Shared Actions—0
A region and category confidence-based multi-task network for carotid ultrasound image segmentation and classification—0
Advancing Seq2seq with Joint Paraphrase Learning—0
Advancing Robust Underwater Acoustic Target Recognition through Multi-task Learning and Multi-Gate Mixture-of-Experts—0
Differentially Private Transferrable Deep Learning with Membership-Mappings—0
Differentiable Mask for Pruning Convolutional and Recurrent Networks—0
Auxiliary Learning for Named Entity Recognition with Multiple Auxiliary Biomedical Training Data—0
Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection—0
DiaNet: BERT and Hierarchical Attention Multi-Task Learning of Fine-Grained Dialect—0
Auxiliary Learning by Implicit Differentiation—0
A Multi-task Learning Framework for Evaluating Machine Translation of Emotion-loaded User-generated Content—0
DialogAct2Vec: Towards End-to-End Dialogue Agent by Multi-Task Representation Learning—0
DiagrammaticLearning: A Graphical Language for Compositional Training Regimes—0
AutoTaskFormer: Searching Vision Transformers for Multi-task Learning—0
Diabetic retinopathy image classification method based on GreenBen data augmentation—0
DG-STMTL: A Novel Graph Convolutional Network for Multi-Task Spatio-Temporal Traffic Forecasting—0
AutoSTL: Automated Spatio-Temporal Multi-Task Learning—0
A Multi-Task Learning Framework for Extracting Bacteria Biotope Information—0
Advances and Challenges of Multi-task Learning Method in Recommender System: A Survey—0
DGRC: An Effective Fine-tuning Framework for Distractor Generation in Chinese Multi-choice Reading Comprehension—0
DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding—0
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning—0
DFGET: Displacement-Field Assisted Graph Energy Transmitter for Gland Instance Segmentation—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