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 2401–2410 of 3687 papers

TitleStatusHype
Multi-task Learning for Multilingual Neural Machine Translation—0
Efficient Meta Lifelong-Learning with Limited Memory—0
A Multi-Task Incremental Learning Framework with Category Name Embedding for Aspect-Category Sentiment AnalysisCode0
SAFENet: Self-Supervised Monocular Depth Estimation with Semantic-Aware Feature ExtractionCode0
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings—0
Improving AMR Parsing with Sequence-to-Sequence Pre-trainingCode1
Automatic CAD-RADS Scoring Using Deep Learning—0
Multi-Loss Sub-Ensembles for Accurate Classification with Uncertainty Estimation—0
A Multi-task Learning Framework for Opinion Triplet ExtractionCode1
MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive ScaleCode1
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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