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

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Showing 3131–3140 of 3687 papers

TitleStatusHype
Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach—0
Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns—0
Deconstructing Supertagging into Multi-Task Sequence Prediction—0
Decorrelating Semantic Visual Attributes by Resisting the Urge to Share—0
Accelerating Meta-Learning by Sharing Gradients—0
SPARTA: Speaker Profiling for ARabic TAlk—0
Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing—0
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning—0
When MAML Can Adapt Fast and How to Assist When It Cannot—0
Spatial Object Recommendation with Hints: When Spatial Granularity Matters—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