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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 2801–2825 of 3687 papers

TitleStatusHype
Multi-Task Learning for Sequence Tagging: An Empirical Study—0
Multi-Task Learning for Situated Multi-Domain End-to-End Dialogue Systems—0
Multi-task Learning for Source Attribution and Field Reconstruction for Methane Monitoring—0
Multi-Task Learning for Speaker-Role Adaptation in Neural Conversation Models—0
Multi-task Learning for Speaker Verification and Voice Trigger Detection—0
Multi-task Learning for Universal Sentence Embeddings: A Thorough Evaluation using Transfer and Auxiliary Tasks—0
Multi-task learning for virtual flow metering—0
Multi-Task Learning for Visual Scene Understanding—0
Multi-task Learning for Voice Trigger Detection—0
Multi Task Learning For Zero Shot Performance Prediction of Multilingual Models—0
Multi-Task Learning Framework for Mining Crowd Intelligence towards Clinical Treatment—0
Multi-task learning from fixed-wing UAV images for 2D/3D city modeling—0
MILA: Multi-Task Learning from Videos via Efficient Inter-Frame Attention—0
Multi-Task Learning Improves Performance In Deep Argument Mining Models—0
Multi-task Learning in Argument Mining for Persuasive Online Discussions—0
Non-linear Multitask Learning with Deep Gaussian Processes—0
Real-time Multi-Task Diffractive Deep Neural Networks via Hardware-Software Co-design—0
Multi-Task Learning in Histo-pathology for Widely Generalizable Model—0
Multi-Task Learning in Natural Language Processing: An Overview—0
Multi-Task Learning with Auxiliary Speaker Identification for Conversational Emotion Recognition—0
Multi-task Learning of Cascaded CNN for Facial Attribute Classification—0
Optimizing accuracy and diversity: a multi-task approach to forecast combinations—0
Multi-task learning of daily work and study round-trips from survey data—0
Multi-task Learning Of Deep Neural Networks For Audio Visual Automatic Speech Recognition—0
Multi-Task Learning of Generation and Classification for Emotion-Aware Dialogue Response Generation—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