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 1426–1450 of 3687 papers

TitleStatusHype
End-to-end cell recognition by point annotation—0
BigBIO: A Framework for Data-Centric Biomedical Natural Language ProcessingCode2
Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-ViewCode0
Personalized Keyword Spotting through Multi-task Learning—0
Impact of Acoustic Event Tagging on Scene Classification in a Multi-Task Learning Framework—0
Noise-aware Physics-informed Machine Learning for Robust PDE DiscoveryCode0
Burst2Vec: An Adversarial Multi-Task Approach for Predicting Emotion, Age, and Origin from Vocal BurstsCode0
SAQAM: Spatial Audio Quality Assessment Metric—0
A Manifold-based Airfoil Geometric-feature Extraction and Discrepant Data Fusion Learning Method—0
Adversarial Multi-Task Learning for Disentangling Timbre and Pitch in Singing Voice Synthesis—0
Multi-task twin support vector machine with Universum data—0
Semantics-Depth-Symbiosis: Deeply Coupled Semi-Supervised Learning of Semantics and Depth—0
Learning Multi-Task Transferable Rewards via Variational Inverse Reinforcement Learning—0
Motley: Benchmarking Heterogeneity and Personalization in Federated LearningCode0
Thompson Sampling for Robust Transfer in Multi-Task BanditsCode0
DenseMTL: Cross-task Attention Mechanism for Dense Multi-task LearningCode1
Deep Multi-Task Models for Misogyny Identification and Categorization on Arabic Social Media—0
Learning to Teach Fairness-aware Deep Multi-task Learning—0
On Privacy and Personalization in Cross-Silo Federated LearningCode1
Multi-View Imputation and Cross-Attention Network Based on Incomplete Longitudinal and Multimodal Data for Conversion Prediction of Mild Cognitive ImpairmentCode0
Accurate Emotion Strength Assessment for Seen and Unseen Speech Based on Data-Driven Deep LearningCode1
Enhanced Knowledge Selection for Grounded Dialogues via Document Semantic Graphs—0
Codec at SemEval-2022 Task 5: Multi-Modal Multi-Transformer Misogynous Meme Classification FrameworkCode0
A Multi-task Framework for Infrared Small Target Detection and SegmentationCode1
Human Mobility Prediction with Causal and Spatial-constrained Multi-task NetworkCode1
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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