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 751–775 of 3687 papers

TitleStatusHype
A Multitask Learning Approach for Diacritic Restoration—0
A Multi-Task Learning Algorithm for Non-personalized Recommendations—0
A Collaborative Computer Aided Diagnosis (C-CAD) System with Eye-Tracking, Sparse Attentional Model, and Deep Learning—0
Domain Adversarial Training for Accented Speech Recognition—0
A Unified Perspective on Multi-Domain and Multi-Task Learning—0
A Dirty Model for Multi-task Learning—0
A Unified Multi-Task Learning Framework of Real-Time Drone Supervision for Crowd Counting—0
3D Object Visibility Prediction in Autonomous Driving—0
Agnostic Lane Detection—0
Domain Generalization for In-Orbit 6D Pose Estimation—0
DSReg: Using Distant Supervision as a Regularizer—0
A Unified Multi-Task Learning Architecture for Hate Detection Leveraging User-Based Information—0
A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining—0
A Multi-task Event and Argument Trigger Detection in Hindi using POS Tagging as an Auxiliary Task—0
A multi-task deep learning model for the classification of Age-related Macular Degeneration—0
A Unified Framework for Structured Low-rank Matrix Learning—0
A Diffusion-based Method for Multi-turn Compositional Image Generation—0
Domain Adaptation for Deep Reinforcement Learning in Visually Distinct Games—0
A Conceptual Framework for Lifelong Learning—0
Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning—0
A Unified Framework for Campaign Performance Forecasting in Online Display Advertising—0
A Multi-Task Deep Learning Framework to Localize the Eloquent Cortex in Brain Tumor Patients Using Dynamic Functional Connectivity—0
Domain Adaptation of Recurrent Neural Networks for Natural Language Understanding—0
A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation—0
A Unified Architecture for Semantic Role Labeling and Relation Classification—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