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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 2701–2725 of 3687 papers

TitleStatusHype
PERSONA: An Application for Emotion Recognition, Gender Recognition and Age Estimation—0
Personalised Federated Learning: A Combinational Approach—0
Activity Regularization for Continual Learning—0
Personalized Attraction Enhanced Sponsored Search with Multi-task Learning—0
Personalized Decentralized Multi-Task Learning Over Dynamic Communication Graphs—0
Personalized Driver Stress Detection with Multi-task Neural Networks using Physiological Signals—0
Modeling Adaptive Fine-grained Task Relatedness for Joint CTR-CVR Estimation—0
Personalized Keyword Spotting through Multi-task Learning—0
Personalized Microblog Sentiment Classification via Adversarial Cross-lingual Multi-task Learning—0
Personalized Over-the-Air Federated Learning with Personalized Reconfigurable Intelligent Surfaces—0
Personalized Student Stress Prediction with Deep Multi-Task Network—0
Person re-identification across different datasets with multi-task learning—0
Analyzing Learned Representations of a Deep ASR Performance Prediction Model—0
Analytical Uncertainty-Based Loss Weighting in Multi-Task Learning—0
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting—0
Phase-Specific Augmented Reality Guidance for Microscopic Cataract Surgery Using Long-Short Spatiotemporal Aggregation Transformer—0
Phenotypical Ontology Driven Framework for Multi-Task Learning—0
Phoneme-aware and Channel-wise Attentive Learning for Text DependentSpeaker Verification—0
An Adversarial Multi-Task Learning Method for Chinese Text Correction with Semantic Detection—0
Phylogenic Multi-Lingual Dependency Parsing—0
Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning—0
Physical formula enhanced multi-task learning for pharmacokinetics prediction—0
Unified 3D Mesh Recovery of Humans and Animals by Learning Animal Exercise—0
PhysMLE: Generalizable and Priors-Inclusive Multi-task Remote Physiological Measurement—0
PI-RADS v2 Compliant Automated Segmentation of Prostate Zones Using co-training Motivated Multi-task Dual-Path CNN—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