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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 1726–1750 of 3687 papers

TitleStatusHype
Detecting Moments of Change and Suicidal Risks in Longitudinal User Texts Using Multi-task LearningCode0
Intent Discovery for Enterprise Virtual Assistants: Applications of Utterance Embedding and Clustering to Intent Mining—0
MaChAmp at SemEval-2022 Tasks 2, 3, 4, 6, 10, 11, and 12: Multi-task Multi-lingual Learning for a Pre-selected Set of Semantic DatasetsCode0
Asynchronous Convergence in Multi-Task Learning via Knowledge Distillation from Converged Tasks—0
LITE: Intent-based Task Representation Learning Using Weak SupervisionCode0
Multi-Task Learning to Capture Changes in Mood Over Time—0
An Understanding-Oriented Robust Machine Reading Comprehension ModelCode0
Explaining Models of Mental Health via Clinically Grounded Auxiliary Tasks—0
taochen at SemEval-2022 Task 5: Multimodal Multitask Learning and Ensemble Learning—0
Event Causality Identification via Generation of Important Context WordsCode0
Enhancing Self-Attention with Knowledge-Assisted Attention Maps—0
Enhancing Knowledge Selection for Grounded Dialogues via Document Semantic Graphs—0
End-to-end cell recognition by point annotation—0
Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-ViewCode0
Personalized Keyword Spotting through Multi-task Learning—0
Impact of Acoustic Event Tagging on Scene Classification in a Multi-Task Learning Framework—0
Noise-aware Physics-informed Machine Learning for Robust PDE DiscoveryCode0
Burst2Vec: An Adversarial Multi-Task Approach for Predicting Emotion, Age, and Origin from Vocal BurstsCode0
SAQAM: Spatial Audio Quality Assessment Metric—0
Adversarial Multi-Task Learning for Disentangling Timbre and Pitch in Singing Voice Synthesis—0
A Manifold-based Airfoil Geometric-feature Extraction and Discrepant Data Fusion Learning Method—0
Multi-task twin support vector machine with Universum data—0
Semantics-Depth-Symbiosis: Deeply Coupled Semi-Supervised Learning of Semantics and Depth—0
Learning Multi-Task Transferable Rewards via Variational Inverse Reinforcement Learning—0
Motley: Benchmarking Heterogeneity and Personalization in Federated LearningCode0
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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