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 2551–2575 of 3687 papers

TitleStatusHype
News Cover Assessment via Multi-task Learning—0
New Tight Relaxations of Rank Minimization for Multi-Task Learning—0
NFTs to MARS: Multi-Attention Recommender System for NFTs—0
NN-Based Joint Mitigation of IQ Imbalance and PA Nonlinearity With Multiple States—0
WiFo: Wireless Foundation Model for Channel Prediction—0
An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms—0
No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods—0
An Interactive Agent Foundation Model—0
Non-contact Pain Recognition from Video Sequences with Remote Physiological Measurements Prediction—0
Non-Federated Multi-Task Split Learning for Heterogeneous Sources—0
Non-Linear Domain Adaptation with Boosting—0
Nonparametric Trace Regression in High Dimensions via Sign Series Representation—0
Will 6G be Semantic Communications? Opportunities and Challenges from Task Oriented and Secure Communications to Integrated Sensing—0
An Integrated Framework for Two-pass Personalized Voice Trigger—0
No-Reference Image Quality Assessment via Feature Fusion and Multi-Task Learning—0
Normalizing Compositional Structures Across Graphbanks—0
An Extensible Multimodal Multi-task Object Dataset with Materials—0
No Task Left Behind: Multi-Task Learning of Knowledge Tracing and Option Tracing for Better Student Assessment—0
NOWJ at COLIEE 2023 -- Multi-Task and Ensemble Approaches in Legal Information Processing—0
Will It Blend? Mixing Training Paradigms & Prompting for Argument Quality Prediction—0
NTU\_NLP at SemEval-2020 Task 12: Identifying Offensive Tweets Using Hierarchical Multi-Task Learning Approach—0
Nuclei panoptic segmentation and composition regression with multi-task deep neural networks—0
Will my auxiliary tagging task help? Estimating Auxiliary Tasks Effectivity in Multi-Task Learning—0
Object-Centric Multi-Task Learning for Human Instances—0
ObjectMover: Generative Object Movement with Video Prior—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