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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

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Showing 2251–2275 of 3687 papers

TitleStatusHype
UniZero: Generalized and Efficient Planning with Scalable Latent World Models—0
Unlocking the Potential: Multi-task Deep Learning for Spaceborne Quantitative Monitoring of Fugitive Methane Plumes—0
Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multi-Task Learning Perspective—0
Unsupervised Domain Adaptation: A Multi-task Learning-based Method—0
Unsupervised Domain Adaptation for Dysarthric Speech Detection via Domain Adversarial Training and Mutual Information Minimization—0
Unsupervised Domain Adaptation in Semantic Segmentation: a Review—0
Unsupervised Domain Adaptation of Language Models for Reading Comprehension—0
Unsupervised Meta-Learning for Reinforcement Learning—0
Robust Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models—0
Unsupervised Out-of-Distribution Dialect Detection with Mahalanobis Distance—0
UoW: Multi-task Learning Gaussian Process for Semantic Textual Similarity—0
UPB at IberLEF-2023 AuTexTification: Detection of Machine-Generated Text using Transformer Ensembles—0
UPB at SemEval-2020 Task 8: Joint Textual and Visual Modeling in a Multi-Task Learning Architecture for Memotion Analysis—0
UPB at SemEval-2020 Task 9: Identifying Sentiment in Code-Mixed Social Media Texts using Transformers and Multi-Task Learning—0
UPB at SemEval-2021 Task 7: Adversarial Multi-Task Learning for Detecting and Rating Humor and Offense—0
Urban Representation Learning for Fine-grained Economic Mapping: A Semi-supervised Graph-based Approach—0
UserBERT: Self-supervised User Representation Learning—0
User-Sensitive Recommendation Ensemble with Clustered Multi-Task Learning—0
Using deep learning to predict soil properties from regional spectral data—0
Using Eye-tracking Data to Predict the Readability of Brazilian Portuguese Sentences in Single-task, Multi-task and Sequential Transfer Learning Approaches—0
Using Gaussian Processes for Rumour Stance Classification in Social Media—0
Using Gaze to Predict Text Readability—0
Using Multi-task and Transfer Learning to Solve Working Memory Tasks—0
Using multi-task learning to improve the performance of acoustic-to-word and conventional hybrid models—0
Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation—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