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

Showing 14211430 of 3687 papers

TitleStatusHype
Hybrid CNN-Transformer Model For Facial Affect Recognition In the ABAW4 Challenge0
Asynchronous Convergence in Multi-Task Learning via Knowledge Distillation from Converged Tasks0
Flexible Modeling and Multitask Learning using Differentiable Tree Ensembles0
Hybrid Transformer/CTC Networks for Hardware Efficient Voice Triggering0
HydaLearn: Highly Dynamic Task Weighting for Multi-task Learning with Auxiliary Tasks0
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification0
Flexible Low-Rank Statistical Modeling with Side Information0
Hyper-Class Augmented and Regularized Deep Learning for Fine-Grained Image Classification0
HyperGrid: Efficient Multi-Task Transformers with Grid-wise Decomposable Hyper Projections0
Computation Offloading in Multi-Access Edge Computing Networks: A Multi-Task Learning Approach0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PCGrad∆m%125.7Unverified
2CAGrad∆m%112.8Unverified
3IMTL-G∆m%77.2Unverified
4Nash-MTL∆m%62Unverified
5BayesAgg-MTL∆m%53.7Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLmIoU76.41Unverified
2Nash-MTLmIoU75.41Unverified
3MultiObjectiveOptimizationmIoU66.63Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLMean IoU58.14Unverified
2Nash-MTLMean IoU40.13Unverified
#ModelMetricClaimedVerifiedStatus
1Gumbel-Matrix RoutingAverage Accuracy93.52Unverified
2Mixture-of-ExpertsAverage Accuracy92.19Unverified
#ModelMetricClaimedVerifiedStatus
1MGDA-UBError8.25Unverified
#ModelMetricClaimedVerifiedStatus
1BayesAgg-MTLdelta_m-2.23Unverified
#ModelMetricClaimedVerifiedStatus
1LETRFH83.3Unverified