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 1921–1930 of 3687 papers

TitleStatusHype
Joint Object Contour Points and Semantics for Instance Segmentation—0
Auxiliary Learning for Named Entity Recognition with Multiple Auxiliary Biomedical Training Data—0
Auxiliary Learning by Implicit Differentiation—0
MatMat: Matrix Factorization by Matrix Fitting—0
Matrix and Tensor Factorization Methods for Natural Language Processing—0
MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling—0
MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-Task Learning—0
Towards Generalized Models for Task-oriented Dialogue Modeling on Spoken Conversations—0
MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models—0
MB-HGCN: A Hierarchical Graph Convolutional Network for Multi-behavior Recommendation—0
Show:102550
← PrevPage 193 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