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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 1551–1575 of 3687 papers

TitleStatusHype
DeepMultiConnectome: Deep Multi-Task Prediction of Structural Connectomes Directly from Diffusion MRI Tractography—0
Domain-Agnostic Few-Shot Classification by Learning Disparate Modulators—0
Integrated Replay Spoofing-aware Text-independent Speaker Verification—0
Deep Multistage Multi-Task Learning for Quality Prediction of Multistage Manufacturing Systems—0
Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized Era—0
Integrating knowledge bases to improve coreference and bridging resolution for the chemical domain—0
Integration of Pre-trained Networks with Continuous Token Interface for End-to-End Spoken Language Understanding—0
Intelligent optical performance monitor using multi-task learning based artificial neural network—0
Intent Discovery for Enterprise Virtual Assistants: Applications of Utterance Embedding and Clustering to Intent Mining—0
IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning—0
Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction—0
Anomalous Sound Detection Using a Binary Classification Model and Class Centroids—0
Deep Multi-Task Learning for Cooperative NOMA: System Design and Principles—0
Interplay of Machine Translation, Diacritics, and Diacritization—0
Interpretable Meta-Learning of Physical Systems—0
Interpretable MTL from Heterogeneous Domains using Boosted Tree—0
A Hierarchical Context-aware Modeling Approach for Multi-aspect and Multi-granular Pronunciation Assessment—0
Interpretable Multi-task Learning with Shared Variable Embeddings—0
Interpretable Self-supervised Multi-task Learning for COVID-19 Information Retrieval and Extraction—0
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction—0
InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning—0
Inter-turbine Modelling of Wind-Farm Power using Multi-task Learning—0
Intra-day Activity Better Predicts Chronic Conditions—0
Intra-layer Neural Architecture Search—0
A Heterogeneous Graph-Based Multi-Task Learning for Fault Event Diagnosis in Smart Grid—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