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 941950 of 3687 papers

TitleStatusHype
Dynamic Adaptive Optimization for Effective Sentiment Analysis Fine-Tuning on Large Language Models0
Dynamic Adjustment of Matching Radii under the Broadcasting Mode: A Novel Multitask Learning Strategy and Temporal Modeling Approach0
FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks0
Dynamically Updating Event Representations for Temporal Relation Classification with Multi-category Learning0
Beyond without Forgetting: Multi-Task Learning for Classification with Disjoint Datasets0
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification0
Deep Learning based Positioning with Multi-task Learning and Uncertainty-based Fusion0
Deep Learning Approach for Matrix Completion Using Manifold Learning0
Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks0
Deep Latent Emotion Network for Multi-Task Learning0
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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