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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 3351–3375 of 3687 papers

TitleStatusHype
Trace Norm Regularised Deep Multi-Task LearningCode0
GradCraft: Elevating Multi-task Recommendations through Holistic Gradient CraftingCode0
Trace norm regularization for multi-task learning with scarce dataCode0
MMM: Multi-stage Multi-task Learning for Multi-choice Reading ComprehensionCode0
Scaling Manipulation Learning with Visual Kinematic Chain PredictionCode0
OmniNet: A unified architecture for multi-modal multi-task learningCode0
Multi-Task Models Adversarial AttacksCode0
Glyce: Glyph-vectors for Chinese Character RepresentationsCode0
Giving each task what it needs -- leveraging structured sparsity for tailored multi-task learningCode0
Adversarial Robustness in Multi-Task Learning: Promises and IllusionsCode0
GINTRIP: Interpretable Temporal Graph Regression using Information bottleneck and Prototype-based methodCode0
Scheduled Multi-task Learning for Neural Chat TranslationCode0
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender SystemCode0
Systematic Investigation of Strategies Tailored for Low-Resource Settings for Low-Resource Dependency ParsingCode0
Dynamic Deep Multi-task Learning for Caricature-Visual Face RecognitionCode0
Automatically Generating Chinese Homophone Words to Probe Machine Translation Estimation SystemsCode0
Comparison of single and multitask learning for predicting cognitive decline based on MRI dataCode0
Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health RecordsCode0
GILE: A Generalized Input-Label Embedding for Text ClassificationCode0
Cross-Silo Heterogeneous Model Federated Multitask LearningCode0
Sebastian, Basti, Wastl?! Recognizing Named Entities in Bavarian Dialectal DataCode0
Sebis at SemEval-2023 Task 7: A Joint System for Natural Language Inference and Evidence Retrieval from Clinical Trial ReportsCode0
Co-evolutionary multi-task learning for dynamic time series predictionCode0
DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task LearningCode0
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-ExpertsCode0
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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