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 3126–3150 of 3687 papers

TitleStatusHype
Dealing with negative samples with multi-task learning on span-based joint entity-relation extraction—0
Decentralized Collaborative Learning Framework with External Privacy Leakage Analysis—0
Decentralized Collaborative Learning with Probabilistic Data Protection—0
Decentralized Multi-Task Learning Based on Extreme Learning Machines—0
Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data—0
Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach—0
Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns—0
Deconstructing Supertagging into Multi-Task Sequence Prediction—0
Decorrelating Semantic Visual Attributes by Resisting the Urge to Share—0
Accelerating Meta-Learning by Sharing Gradients—0
SPARTA: Speaker Profiling for ARabic TAlk—0
Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing—0
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning—0
When MAML Can Adapt Fast and How to Assist When It Cannot—0
Spatial Object Recommendation with Hints: When Spatial Granularity Matters—0
Deep Adaptive Learning for Writer Identification based on Single Handwritten Word Images—0
DeepAD: A Robust Deep Learning Model of Alzheimer's Disease Progression for Real-World Clinical Applications—0
Deep Automated Multi-task Learning—0
Deep Belief Networks Based Feature Generation and Regression for Predicting Wind Power—0
Spatio-Temporal Dual Graph Neural Networks for Travel Time Estimation—0
Spatial-temporal Multi-Task Learning for Within-field Cotton Yield Prediction—0
Deep Clustering and Conventional Networks for Music Separation: Stronger Together—0
A Hierarchical Context-aware Modeling Approach for Multi-aspect and Multi-granular Pronunciation Assessment—0
DCT-Centered Temporal Relation Extraction—0
DEEP: DEnoising Entity Pre-training for Neural Machine Translation—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