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 1226–1250 of 3687 papers

TitleStatusHype
A Key-Driven Framework for Identity-Preserving Face Anonymization—0
Continual Robot Learning using Self-Supervised Task Inference—0
Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation—0
Hierarchical Ranking for Answer Selection—0
A Personal Privacy Preserving Framework: I Let You Know Who Can See What—0
Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning—0
Hierarchical Multi Task Learning With CTC—0
Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles—0
Accelerating Real-Time Question Answering via Question Generation—0
Hierarchical Multi Task Learning with Subword Contextual Embeddings for Languages with Rich Morphology—0
Adaptive Image Stream Classification via Convolutional Neural Network with Intrinsic Similarity Metrics—0
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems—0
Constructing Time-Series Momentum Portfolios with Deep Multi-Task Learning—0
Gated Multi-Task Network for Text Classification—0
Gated Mechanism Enhanced Multi-Task Learning for Dialog Routing—0
Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction—0
Hierarchical Multi-Task Learning Framework for Session-based Recommendations—0
Hierarchical Over-the-Air FedGradNorm—0
Gated Ensemble of Spatio-temporal Mixture of Experts for Multi-task Learning in Ride-hailing System—0
ScoreGAN: A Fraud Review Detector based on Multi Task Learning of Regulated GAN with Data Augmentation—0
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation—0
Gait Patterns as Biomarkers: A Video-Based Approach for Classifying Scoliosis—0
Constraint-driven multi-task learning—0
Hierarchical Adaptive Expert for Multimodal Sentiment Analysis—0
Heterogeneous Representation Learning: A Review—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