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 2476–2500 of 3687 papers

TitleStatusHype
Multi-task single channel speech enhancement using speech presence probability as a secondary task training target—0
Multi-task Sparse Structure Learning—0
Twitter Demographic Classification Using Deep Multi-modal Multi-task Learning—0
Multi-Task Sub-Band Network For Deep Residual Echo Suppression—0
Multi-task Supervised Learning via Cross-learning—0
Multi-Task Supervised Pretraining for Neural Domain Adaptation—0
Multi-task Swin Transformer for Motion Artifacts Classification and Cardiac Magnetic Resonance Image Segmentation—0
Multi-Task System Identification of Similar Linear Time-Invariant Dynamical Systems—0
Multi-Task Time Series Analysis applied to Drug Response Modelling—0
Multi-task twin support vector machine with Universum data—0
A Novel Multi-Task Learning Method for Symbolic Music Emotion Recognition—0
Multi-Task Variational Information Bottleneck—0
Multi-task Vector Field Learning—0
Multi-Task Video Captioning with Video and Entailment Generation—0
MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning—0
Multi-task Voice Activated Framework using Self-supervised Learning—0
Multi-task WaveNet: A Multi-task Generative Model for Statistical Parametric Speech Synthesis without Fundamental Frequency Conditions—0
Multi-Task Word Alignment Triangulation for Low-Resource Languages—0
Two-Aspect Information Fusion Model For ABAW4 Multi-task Challenge—0
Multitrack Music Transcription with a Time-Frequency Perceiver—0
Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling—0
Multi-View Multi-Task Modeling with Speech Foundation Models for Speech Forensic Tasks—0
Multi-View representation learning in Multi-Task Scene—0
Multi-View Task-Driven Recognition in Visual Sensor Networks—0
Two-block vs. Multi-block ADMM: An empirical evaluation of convergence—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