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 1051–1075 of 3687 papers

TitleStatusHype
Multi-task learning for tissue segmentation and tumor detection in colorectal cancer histology slidesCode0
Practical Lessons on Optimizing Sponsored Products in eCommerce—0
A Diffusion-based Method for Multi-turn Compositional Image Generation—0
A Transformer-Based Deep Learning Approach for Fairly Predicting Post-Liver Transplant Risk Factors—0
Specialty-Oriented Generalist Medical AI for Chest CT ScreeningCode1
Click-aware Structure Transfer with Sample Weight Assignment for Post-Click Conversion Rate Estimation—0
Joint 2D-3D Multi-Task Learning on Cityscapes-3D: 3D Detection, Segmentation, and Depth EstimationCode2
Towards Flexible Multi-modal Document ModelsCode1
Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty EstimationCode1
Learning from Similar Linear Representations: Adaptivity, Minimaxity, and RobustnessCode0
Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant—0
Why is the winner the best?—0
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision—0
Skill Reinforcement Learning and Planning for Open-World Long-Horizon Tasks—0
Predicting Adverse Neonatal Outcomes for Preterm Neonates with Multi-Task Learning—0
Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma—0
Identification of Negative Transfers in Multitask Learning Using Surrogate ModelsCode0
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology—0
Compositional Zero-Shot Domain Transfer with Text-to-Text Models—0
Self-distillation for surgical action recognitionCode1
LiDARFormer: A Unified Transformer-based Multi-task Network for LiDAR Perception—0
BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological MeasurementsCode2
Cascading Hierarchical Networks with Multi-task Balanced Loss for Fine-grained hashingCode0
Multi-task Adversarial Learning for Semi-supervised Trajectory-User LinkingCode0
Multi-Task Model Personalization for Federated Supervised SVM in Heterogeneous Networks—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