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 1626–1650 of 3687 papers

TitleStatusHype
Joint Modelling of Emotion and Abusive Language Detection—0
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation—0
Anomalous Sound Detection Using a Binary Classification Model and Class Centroids—0
A Hierarchical Context-aware Modeling Approach for Multi-aspect and Multi-granular Pronunciation Assessment—0
A Heterogeneous Graph-Based Multi-Task Learning for Fault Event Diagnosis in Smart Grid—0
Few-Shot and Zero-Shot Learning for Historical Text Normalization—0
Joint Prediction of Remaining Useful Life and Failure Type of Train Wheelsets: A Multi-task Learning Approach—0
Joint predictions of multi-modal ride-hailing demands: a deep multi-task multigraph learning-based approach—0
Joint quantile regression in vector-valued RKHSs—0
Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer—0
Joint Scheduling of Causal Prompts and Tasks for Multi-Task Learning—0
Joint Semantic Segmentation and Boundary Detection using Iterative Pyramid Contexts—0
Joint Sensing and Semantic Communications with Multi-Task Deep Learning—0
Joint shape learning and segmentation for medical images using a minimalistic deep network—0
Joint Surgical Gesture and Task Classification with Multi-Task and Multimodal Learning—0
FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks—0
Joint tone mapping and denoising of thermal infrared images via multi-scale Retinex and multi-task learning—0
Comparing Encoder-Only and Encoder-Decoder Transformers for Relation Extraction from Biomedical Texts: An Empirical Study on Ten Benchmark Datasets—0
FedNILM: Applying Federated Learning to NILM Applications at the Edge—0
Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task Learning—0
An Offline Reinforcement Learning Algorithm Customized for Multi-Task Fusion in Large-Scale Recommender Systems—0
Communication-Efficient and Personalized Federated Lottery Ticket Learning—0
Come hither or go away? Recognising pre-electoral coalition signals in the news—0
FedGradNorm: Personalized Federated Gradient-Normalized Multi-Task Learning—0
Fed-Focal Loss for imbalanced data classification in Federated Learning—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