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 1801–1825 of 3687 papers

TitleStatusHype
Learning to Sketch with Shortcut Cycle Consistency—0
Diversity and Depth in Per-Example Routing Models—0
Learning to Teach Fairness-aware Deep Multi-task Learning—0
Extracting Fractional Inspiratory Time from Electrocardiograms—0
Learning to Transfer: Transferring Latent Task Structures and Its Application to Person-Specific Facial Action Unit Detection—0
Learning to Transfer via Modelling Multi-level Task Dependency—0
Learning to Walk in the Real World with Minimal Human Effort—0
Learning Twofold Heterogeneous Multi-Task by Sharing Similar Convolution Kernel Pairs—0
DLM-VMTL:A Double Layer Mapper for heterogeneous data video Multi-task prompt learning—0
Bayesian Optimization Augmented with Actively Elicited Expert Knowledge—0
Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition—0
Learning What to Share: Leaky Multi-Task Network for Text Classification—0
Learning With Privileged Tasks—0
A multi-task learning model for malware classification with useful file access pattern from API call sequence—0
Left Ventricle Segmentation and Quantification from Cardiac Cine MR Images via Multi-task Learning—0
Docking-based Virtual Screening with Multi-Task Learning—0
Machine Learning-Assisted Thermoelectric Cooling for On-Demand Multi-Hotspot Thermal Management—0
Collaborative and Efficient Personalization with Mixtures of Adaptors—0
A Multi-Task Learning Model for Super Resolution of Wireless Channel Characteristics—0
Feature-informed Latent Space Regularization for Music Source Separation—0
Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension—0
Let the Model Decide its Curriculum for Multitask Learning—0
CoinRobot: Generalized End-to-end Robotic Learning for Physical Intelligence—0
Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches—0
Fast Real-time Personalized Speech Enhancement: End-to-End Enhancement Network (E3Net) and Knowledge Distillation—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