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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 1251–1275 of 3687 papers

TitleStatusHype
Gated Multi-Task Network for Text Classification—0
Gated Mechanism Enhanced Multi-Task Learning for Dialog Routing—0
GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue—0
GEmo-CLAP: Gender-Attribute-Enhanced Contrastive Language-Audio Pretraining for Accurate Speech Emotion Recognition—0
HSEmotion Team at the 7th ABAW Challenge: Multi-Task Learning and Compound Facial Expression Recognition—0
Gated Ensemble of Spatio-temporal Mixture of Experts for Multi-task Learning in Ride-hailing System—0
Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning—0
Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles—0
Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning—0
ScoreGAN: A Fraud Review Detector based on Multi Task Learning of Regulated GAN with Data Augmentation—0
Generalized Face Anti-Spoofing via Multi-Task Learning and One-Side Meta Triplet Loss—0
Generalized Jersey Number Recognition Using Multi-task Learning With Orientation-guided Weight Refinement—0
Highly Scalable Task Grouping for Deep Multi-Task Learning in Prediction of Epigenetic Events—0
Gait Patterns as Biomarkers: A Video-Based Approach for Classifying Scoliosis—0
Constraint-driven multi-task learning—0
Transferring Fairness using Multi-Task Learning with Limited Demographic Information—0
High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction—0
Generalizing Question Answering System with Pre-trained Language Model Fine-tuning—0
High Dimensional Data Enrichment: Interpretable, Fast, and Data-Efficient—0
Generative Adversarial Data Programming—0
Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection—0
Generative Modeling for Multi-task Visual Learning—0
Generative Modeling for Multitask Visual Learning—0
Generative Modeling of Individual Behavior at Scale—0
High-dimensional Joint Sparsity Random Effects Model for Multi-task Learning—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