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 3551–3575 of 3687 papers

TitleStatusHype
Coping with low data availability for social media crisis message categorisation—0
SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT—0
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings—0
Copenhagen at CoNLL--SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding—0
Fast and Accurate Performance Analysis of LTE Radio Access Networks—0
Fast and Robust Compressive Summarization with Dual Decomposition and Multi-Task Learning—0
Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits—0
FastCAR: Fast Classification And Regression Multi-Task Learning via Task Consolidation for Modelling a Continuous Property Variable of Object Classes—0
Fast Detection of Phase Transitions with Multi-Task Learning-by-Confusion—0
Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge—0
Fast Line Search for Multi-Task Learning—0
SUM: Suboptimal Unitary Multi-task Learning Framework for Spatiotemporal Data Prediction—0
Fast Real-time Personalized Speech Enhancement: End-to-End Enhancement Network (E3Net) and Knowledge Distillation—0
Aerodynamic Data Predictions Based on Multi-task Learning—0
Coordinated Online Learning With Applications to Learning User Preferences—0
Feature-informed Latent Space Regularization for Music Source Separation—0
Supervised Chorus Detection for Popular Music Using Convolutional Neural Network and Multi-task Learning—0
Feature Partitioning for Efficient Multi-Task Architectures—0
Feature Representation Learning for NL2SQL Generation Based on Coupling and Decoupling—0
A BERT-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction—0
FedAuxHMTL: Federated Auxiliary Hard-Parameter Sharing Multi-Task Learning for Network Edge Traffic Classification—0
FedBone: Towards Large-Scale Federated Multi-Task Learning—0
ConvNets vs. Transformers: Whose Visual Representations are More Transferable?—0
A Benchmark for Federated Hetero-Task Learning—0
Federated Learning for Estimating Heterogeneous Treatment Effects—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