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 1951–1975 of 3687 papers

TitleStatusHype
Embedding Time Differences in Context-sensitive Neural Networks for Learning Time to Event—0
IAPUCP at SemEval-2021 Task 1: Stacking Fine-Tuned Transformers is Almost All You Need for Lexical Complexity Prediction—0
Cambridge at SemEval-2021 Task 1: An Ensemble of Feature-Based and Neural Models for Lexical Complexity Prediction—0
KGP at SemEval-2021 Task 8: Leveraging Multi-Staged Language Models for Extracting Measurements, their Attributes and RelationsCode0
Improving Social Meaning Detection with Pragmatic Masking and Surrogate Fine-TuningCode0
Neural Relighting and Expression Transfer On Video Portraits—0
Recognizing Emotions evoked by Movies using Multitask LearningCode0
Tasks Structure Regularization in Multi-Task Learning for Improving Facial Attribute Prediction—0
Towards robust vision by multi-task learning on monkey visual cortexCode1
Ranking Micro-Influencers: a Novel Multi-Task Learning and Interpretable Framework—0
ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classificationCode1
Exceeding the Limits of Visual-Linguistic Multi-Task Learning—0
BridgeNet: A Joint Learning Network of Depth Map Super-Resolution and Monocular Depth Estimation—0
Fine-Grained Emotion Prediction by Modeling Emotion DefinitionsCode0
Preliminary Steps Towards Federated Sentiment Classification—0
Federated Semi-Supervised Multi-Task Learning to Detect COVID-19 and Lungs Segmentation Marking Using Chest Radiography Images and Raspberry Pi Devices: An Internet of Medical Things ApplicationCode0
Training multi-objective/multi-task collocation physics-informed neural network with student/teachers transfer learnings—0
Hand Image Understanding via Deep Multi-Task LearningCode1
Use of speaker recognition approaches for learning and evaluating embedding representations of musical instrument soundsCode0
Rethinking Hard-Parameter Sharing in Multi-Domain Learning—0
Compositional Models: Multi-Task Learning and Knowledge Transfer with Modular Networks—0
Adaptive Transfer Learning on Graph Neural NetworksCode1
RECIST-Net: Lesion detection via grouping keypoints on RECIST-based annotation—0
TFix: Learning to Fix Coding Errors with a Text-to-Text TransformerCode1
Proactive Retrieval-based Chatbots based on Relevant Knowledge and GoalsCode1
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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