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 801–825 of 3687 papers

TitleStatusHype
Deep Neural Network for Blind Visual Quality Assessment of 4K Content—0
Deep Nonlinear Hyperspectral Unmixing Using Multi-task Learning—0
A Deep Multi-task Learning Approach to Skin Lesion Classification—0
Deep Octonion Networks—0
Deep Prompt Multi-task Network for Abuse Language Detection—0
DeepPSL: End-to-end perception and reasoning—0
Deep Multistage Multi-Task Learning for Quality Prediction of Multistage Manufacturing Systems—0
DeepMultiConnectome: Deep Multi-Task Prediction of Structural Connectomes Directly from Diffusion MRI Tractography—0
A Unified Approach to Kinship Verification—0
DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection—0
Deep sparse multi-task learning for feature selection in Alzheimer’s disease diagnosis—0
Deep Structured Output Learning for Unconstrained Text Recognition—0
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation—0
Achieving RGB-D level Segmentation Performance from a Single ToF Camera—0
Edinburgh’s End-to-End Multilingual Speech Translation System for IWSLT 2021—0
A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models—0
A Distance Map Regularized CNN for Cardiac Cine MR Image Segmentation—0
DELATOR: Money Laundering Detection via Multi-Task Learning on Large Transaction Graphs—0
Autocorrect in the Process of Translation --- Multi-task Learning Improves Dialogue Machine Translation—0
Delving into 3D Action Anticipation from Streaming Videos—0
A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty—0
Deep Mixture of Diverse Experts for Large-Scale Visual Recognition—0
Deeply Learned Attributes for Crowded Scene Understanding—0
A Multi-modal Fusion Framework Based on Multi-task Correlation Learning for Cancer Prognosis Prediction—0
A Deep Learning Method for Real-time Bias Correction of Wind Field Forecasts in the Western North Pacific—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