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 2726–2750 of 3687 papers

TitleStatusHype
Multitask Kernel-based Learning with Logic Constraints—0
Multi-Task Label Embedding for Text Classification—0
Multi-task Language Modeling for Improving Speech Recognition of Rare Words—0
Multi-Task Learning and Adapted Knowledge Models for Emotion-Cause Extraction—0
Multi-task Learning Approach for Modulation and Wireless Signal Classification for 5G and Beyond: Edge Deployment via Model Compression—0
Multi-Task Learning as enabler for General-Purpose AI-native RAN—0
Multi-Task Learning based Convolutional Models with Curriculum Learning for the Anisotropic Reynolds Stress Tensor in Turbulent Duct Flow—0
Multi-task Learning-based CSI Feedback Design in Multiple Scenarios—0
Multi Task Learning based Framework for Multimodal Classification—0
Multi-task Learning-based Joint CSI Prediction and Predictive Transmitter Selection for Security—0
Multi-task learning-based temporal pattern matching network for guitar tablature transcription—0
Multi-Task Learning based Video Anomaly Detection with Attention—0
Multi-Task Learning by a Top-Down Control Network—0
Multi-task Learning by Leveraging the Semantic Information—0
Multi-Task Learning by Maximizing Statistical Dependence—0
Multi-Task Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance—0
Multi-Task Learning for Affect Analysis—0
Multi-Task Learning for Argumentation Mining—0
Multi-Task Learning for Arousal and Sleep Stage Detection Using Fully Convolutional Networks—0
Multi-Task Learning for Audio Visual Active Speaker Detection—0
Multi-task Learning for Automated Essay Scoring with Sentiment Analysis—0
Multi-Task Learning for Automotive Foggy Scene Understanding via Domain Adaptation to an Illumination-Invariant Representation—0
Multi-Task Learning for Budbreak Prediction—0
Multi-Task Learning for Calorie Prediction on a Novel Large-Scale Recipe Dataset Enriched with Nutritional Information—0
Multi-Task Learning for Chemical Named Entity Recognition with Chemical Compound Paraphrasing—0
Show:102550
← PrevPage 110 of 148Next →
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