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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 1426–1450 of 3687 papers

TitleStatusHype
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification—0
Accelerating Meta-Learning by Sharing Gradients—0
Hyper-Class Augmented and Regularized Deep Learning for Fine-Grained Image Classification—0
HyperGrid: Efficient Multi-Task Transformers with Grid-wise Decomposable Hyper Projections—0
HyperGrid Transformers: Towards A Single Model for Multiple Tasks—0
Flexible Modeling and Multitask Learning using Differentiable Tree Ensembles—0
Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation—0
Flexible Low-Rank Statistical Modeling with Side Information—0
Data Sharing without Rewards in Multi-Task Offline Reinforcement Learning—0
Computation Offloading in Multi-Access Edge Computing Networks: A Multi-Task Learning Approach—0
FLAIR-HUB: Large-scale Multimodal Dataset for Land Cover and Crop Mapping—0
HyperPrompt: Prompt-based Task-Conditioning of Transformers—0
Fish Tracking, Counting, and Behaviour Analysis in Digital Aquaculture: A Comprehensive Survey—0
CoMPS: Continual Meta Policy Search—0
A Novel Multi-Task Tensor Correlation Neural Network for Facial Attribute Prediction—0
Monocular Instance Motion Segmentation for Autonomous Driving: KITTI InstanceMotSeg Dataset and Multi-task Baseline—0
DCCRN-KWS: an audio bias based model for noise robust small-footprint keyword spotting—0
A Transformer-Based Multi-Stream Approach for Isolated Iranian Sign Language Recognition—0
A Transformer-Based Deep Learning Approach for Fairly Predicting Post-Liver Transplant Risk Factors—0
Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized Era—0
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation—0
DCRNN: A Deep Cross approach based on RNN for Partial Parameter Sharing in Multi-task Learning—0
Identifying and Mitigating Spurious Correlation in Multi-Task Learning—0
Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding—0
Inter-turbine Modelling of Wind-Farm Power using Multi-task Learning—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