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 1081–1090 of 3687 papers

TitleStatusHype
DCCRN-KWS: an audio bias based model for noise robust small-footprint keyword spotting—0
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation—0
A Manifold-based Airfoil Geometric-feature Extraction and Discrepant Data Fusion Learning Method—0
Fish Tracking, Counting, and Behaviour Analysis in Digital Aquaculture: A Comprehensive Survey—0
ATM: Improving Model Merging by Alternating Tuning and Merging—0
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning—0
Data Sharing without Rewards in Multi-Task Offline Reinforcement Learning—0
Dataset Distribution Impacts Model Fairness: Single vs. Multi-Task Learning—0
A Theoretical Perspective on Differentially Private Federated Multi-task Learning—0
Finger-UNet: A U-Net based Multi-Task Architecture for Deep Fingerprint Enhancement—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