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 3551–3575 of 3687 papers

TitleStatusHype
Multi-Task Dynamical SystemsCode0
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph ClassificationCode0
Multi-Task Feature Learning for Knowledge Graph Enhanced RecommendationCode0
Test Case-Informed Knowledge Tracing for Open-ended Coding TasksCode0
Similarity-based Memory Enhanced Joint Entity and Relation ExtractionCode0
AdaMTL: Adaptive Input-dependent Inference for Efficient Multi-Task LearningCode0
FCSR-GAN: Joint Face Completion and Super-resolution via Multi-task LearningCode0
Multi-task Geometric Estimation of Depth and Surface Normal from Monocular 360° ImagesCode0
Multi-Task Graph AutoencodersCode0
Fast Multiple Landmark Localisation Using a Patch-based Iterative NetworkCode0
fairseq S2T: Fast Speech-to-Text Modeling with fairseqCode0
Fairness in Multi-Task Learning via Wasserstein BarycentersCode0
Physics-informed MTA-UNet: Prediction of Thermal Stress and Thermal Deformation of SatellitesCode0
ALUE: Arabic Language Understanding EvaluationCode0
What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task LearningCode0
Multi-Tasking Genetic Algorithm (MTGA) for Fuzzy System OptimizationCode0
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item RecommendationCode0
Facial Emotion Recognition: A multi-task approach using deep learningCode0
Achievement-Based Training Progress Balancing for Multi-Task LearningCode0
Pix3D: Dataset and Methods for Single-Image 3D Shape ModelingCode0
Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-ViewCode0
TriangleNet: Edge Prior Augmented Network for Semantic Segmentation through Cross-Task ConsistencyCode0
Facial Affect Recognition in the Wild Using Multi-Task Learning Convolutional NetworkCode0
Multi-task Learning Approach for Intracranial Hemorrhage PrognosisCode0
An Interpretable and Uncertainty Aware Multi-Task Framework for Multi-Aspect Sentiment AnalysisCode0
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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