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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 1751–1775 of 3687 papers

TitleStatusHype
A Benchmark for Federated Hetero-Task Learning—0
Collaborative Optimization in Financial Data Mining Through Deep Learning and ResNeXt—0
Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy—0
Discriminatory Transfer—0
FedBone: Towards Large-Scale Federated Multi-Task Learning—0
Disentangled Interleaving Variational Encoding—0
Learning Multiple Tasks with Multilinear Relationship Networks—0
Learning Multiple Visual Tasks while Discovering their Structure—0
Collaborative Multi-Task Representation for Natural Language Understanding—0
Learning Multi-Task Transferable Rewards via Variational Inverse Reinforcement Learning—0
Disentangling Representations through Multi-task Learning—0
Learning Optical Flow, Depth, and Scene Flow without Real-World Labels—0
Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation—0
Learning Predictive, Online Approximations of Explanatory, Offline Algorithms—0
Learning Rates for Multi-task Regularization Networks—0
Distance Correlation Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies—0
An Iterative Polishing Framework based on Quality Aware Masked Language Model for Chinese Poetry Generation—0
Learning representations for sentiment classification using Multi-task framework—0
Learning Representations for Text-level Discourse Parsing—0
Learning Shared Dynamics with Meta-World Models—0
Distillation based Multi-task Learning: A Candidate Generation Model for Improving Reading Duration—0
FedAuxHMTL: Federated Auxiliary Hard-Parameter Sharing Multi-Task Learning for Network Edge Traffic Classification—0
Learning Task Grouping and Overlap in Multi-task Learning—0
Learning Task Relatedness in Multi-Task Learning for Images in Context—0
Collaborative Learning with Different Labeling Functions—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