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 2171–2180 of 3687 papers

TitleStatusHype
Multi-Target Prediction: A Unifying View on Problems and Methods—0
Multi-Target Regression via Input Space Expansion: Treating Targets as Inputs—0
When does deep multi-task learning work for loosely related document classification tasks?—0
Multi-Task Active Learning for Neural Semantic Role Labeling on Low Resource Conversational Corpus—0
3D Object Visibility Prediction in Autonomous Driving—0
Multi-task additive models with shared transfer functions based on dictionary learning—0
Traffic Sign Interpretation in Real Road Scene—0
Multi-Task and Multi-Modal Learning for RGB Dynamic Gesture Recognition—0
Multi-Task and Transfer Learning for Federated Learning Applications—0
Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification—0
Show:102550
← PrevPage 218 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