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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 2251–2275 of 3687 papers

TitleStatusHype
Multi-Task Learning for Affect Analysis—0
Transfer Learning for Speech and Language Processing—0
Transfer Learning for the Prediction of Entity Modifiers in Clinical Text: Application to Opioid Use Disorder Case Detection—0
Multi-Task Learning for Argumentation Mining—0
Multi-Task Learning for Arousal and Sleep Stage Detection Using Fully Convolutional Networks—0
Multi-Task Learning for Audio Visual Active Speaker Detection—0
Multi-task Learning for Automated Essay Scoring with Sentiment Analysis—0
Multi-Task Learning for Automotive Foggy Scene Understanding via Domain Adaptation to an Illumination-Invariant Representation—0
Multi-Task Learning for Budbreak Prediction—0
Multi-Task Learning for Calorie Prediction on a Novel Large-Scale Recipe Dataset Enriched with Nutritional Information—0
A Simple General Approach to Balance Task Difficulty in Multi-Task Learning—0
Multi-Task Learning for Chemical Named Entity Recognition with Chemical Compound Paraphrasing—0
Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels—0
Multi-task Learning for Chinese Word Usage Errors Detection—0
Multi-task learning for classification, segmentation, reconstruction, and detection on chest CT scans—0
Transfer Learning from Partial Annotations for Whole Brain Segmentation—0
Multi-task Learning for Concurrent Prediction of Thermal Comfort, Sensation, and Preference—0
Multi-Task Learning for Contextual Bandits—0
Multi-task Learning for Continuous Control—0
Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum Learning—0
Multi-Task Learning for Cross-Lingual Abstractive Summarization—0
Transfer Learning in Conversational Analysis through Reusing Preprocessing Data as Supervisors—0
A Semi-supervised Multi-task Learning Approach to Classify Customer Contact Intents—0
When Regression Meets Manifold Learning for Object Recognition and Pose Estimation—0
Transferring from Formal Newswire Domain with Hypernet for Twitter POS Tagging—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