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 321–330 of 3687 papers

TitleStatusHype
Wolf2Pack: The AutoFusion Framework for Dynamic Parameter Fusion—0
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems—0
Pareto Control Barrier Function for Inner Safe Set Maximization Under Input Constraints—0
A Multi-task Learning Framework for Evaluating Machine Translation of Emotion-loaded User-generated Content—0
Distributed Networked Multi-task Learning—0
Collaborative and Efficient Personalization with Mixtures of Adaptors—0
SGW-based Multi-Task Learning in Vision Tasks—0
DaWin: Training-free Dynamic Weight Interpolation for Robust AdaptationCode1
Forecasting Smog Clouds With Deep Learning—0
Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping—0
Show:102550
← PrevPage 33 of 369Next →
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