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

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Showing 301–325 of 3687 papers

TitleStatusHype
SkillSpan: Hard and Soft Skill Extraction from English Job PostingsCode1
Hierarchical Bayesian Modelling for Knowledge Transfer Across Engineering Fleets via Multitask LearningCode1
Leveraging convergence behavior to balance conflicting tasks in multi-task learningCode1
End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and Multi-agentCode1
NeuS: Neutral Multi-News Summarization for Mitigating Framing BiasCode1
MRI-based Multi-task Decoupling Learning for Alzheimer's Disease Detection and MMSE Score Prediction: A Multi-site ValidationCode1
Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic SegmentationCode1
HLDC: Hindi Legal Documents CorpusCode1
MMER: Multimodal Multi-task Learning for Speech Emotion RecognitionCode1
Task Adaptive Parameter Sharing for Multi-Task LearningCode1
Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment AnalysisCode1
REX: Reasoning-aware and Grounded ExplanationCode1
Robust Multi-Task Learning and Online Refinement for Spacecraft Pose Estimation across Domain GapCode1
Look\&Listen: Multi-Modal Correlation Learning for Active Speaker Detection and Speech EnhancementCode1
Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language ModelsCode1
JOINED : Prior Guided Multi-task Learning for Joint Optic Disc/Cup Segmentation and Fovea DetectionCode1
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and ClassificationCode1
Structured Multi-task Learning for Molecular Property PredictionCode1
360 Depth Estimation in the Wild -- The Depth360 Dataset and the SegFuse NetworkCode1
Multi-task UNet: Jointly Boosting Saliency Prediction and Disease Classification on Chest X-ray ImagesCode1
CodeFill: Multi-token Code Completion by Jointly Learning from Structure and Naming SequencesCode1
Auto-Lambda: Disentangling Dynamic Task RelationshipsCode1
Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systemsCode1
Molecular Representation Learning via Heterogeneous Motif Graph Neural NetworksCode1
Incorporating Commonsense Knowledge into Story Ending Generation via Heterogeneous Graph NetworksCode1
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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