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 831–840 of 3687 papers

TitleStatusHype
Modelling Concurrent RTP Flows for End-to-end Predictions of QoS in Real Time Communications—0
Multi-head Sequence Tagging Model for Grammatical Error CorrectionCode0
MIRA: A Method of Federated MultI-Task Learning for LaRge LAnguage Models—0
Hierarchical Conditional Multi-Task Learning for Streamflow Modeling—0
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning—0
SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation SurgeryCode0
Dual-Label Learning With Irregularly Present Labels—0
Fine-Tuning Language Models on Multiple Datasets for Citation Intention ClassificationCode0
Optimizing Multi-Task Learning for Accurate Spacecraft Pose Estimation—0
Multi-View Multi-Task Modeling with Speech Foundation Models for Speech Forensic Tasks—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