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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 2426–2450 of 3687 papers

TitleStatusHype
Aggressive Language Detection with Joint Text Normalization via Adversarial Multi-task Learning—0
An Interpretable and Uncertainty Aware Multi-Task Framework for Multi-Aspect Sentiment AnalysisCode0
Retrofitting Structure-aware Transformer Language Model for End Tasks—0
Frequency-based Multi Task learning With Attention Mechanism for Fault Detection In Power Systems—0
Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network—0
A Unified Approach to Kinship Verification—0
Learning an Interpretable Graph Structure in Multi-Task Learning—0
Towards Interpretable Multi-Task Learning Using Bilevel Programming—0
Multi-Task Learning with Deep Neural Networks: A Survey—0
Multi-modal embeddings using multi-task learning for emotion recognition—0
Accelerating Real-Time Question Answering via Question Generation—0
Temporal Attribute-Appearance Learning Network for Video-based Person Re-Identification—0
Uncovering the Corona Virus Map Using Deep Entities and Relationship Models—0
Measuring Massive Multitask Language UnderstandingCode2
UPB at SemEval-2020 Task 8: Joint Textual and Visual Modeling in a Multi-Task Learning Architecture for Memotion Analysis—0
MFL_COVID19: Quantifying Country-based Factors affecting Case Fatality Rate in Early Phase of COVID-19 Epidemic via Regularised Multi-task Feature Learning—0
UPB at SemEval-2020 Task 9: Identifying Sentiment in Code-Mixed Social Media Texts using Transformers and Multi-Task Learning—0
Phenotypical Ontology Driven Framework for Multi-Task Learning—0
Large Dimensional Analysis and Improvement of Multi Task Learning—0
Multi-Loss Weighting with Coefficient of VariationsCode1
A Survey on Negative TransferCode1
Boosting Share Routing for Multi-task Learning—0
Knowledge Efficient Deep Learning for Natural Language Processing—0
HydaLearn: Highly Dynamic Task Weighting for Multi-task Learning with Auxiliary Tasks—0
Keypoint-Aligned Embeddings for Image Retrieval and Re-identification—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