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 3201–3225 of 3687 papers

TitleStatusHype
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy—0
Deep Neural Network for Blind Visual Quality Assessment of 4K Content—0
Deep Nonlinear Hyperspectral Unmixing Using Multi-task Learning—0
Deep Octonion Networks—0
Speaker- and Age-Invariant Training for Child Acoustic Modeling Using Adversarial Multi-Task Learning—0
Deep Prompt Multi-task Network for Abuse Language Detection—0
DeepPSL: End-to-end perception and reasoning—0
deep-REMAP: Parameterization of Stellar Spectra Using Regularized Multi-Task Learning—0
deepSA2018 at SemEval-2018 Task 1: Multi-task Learning of Different Label for Affect in Tweets—0
DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection—0
3D Instance Segmentation via Multi-Task Metric Learning—0
Deep sparse multi-task learning for feature selection in Alzheimer’s disease diagnosis—0
Deep Structured Output Learning for Unconstrained Text Recognition—0
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation—0
Data Poisoning Attacks on Federated Machine Learning—0
Speaker-Distinguishable CTC: Learning Speaker Distinction Using CTC for Multi-Talker Speech Recognition—0
Speaker Identity Preservation in Dysarthric Speech Reconstruction by Adversarial Speaker Adaptation—0
Speaker-Independent Dysarthria Severity Classification using Self-Supervised Transformers and Multi-Task Learning—0
DELATOR: Money Laundering Detection via Multi-Task Learning on Large Transaction Graphs—0
Speaker-Invariant Training via Adversarial Learning—0
Delving into 3D Action Anticipation from Streaming Videos—0
Data Fusion of Deep Learned Molecular Embeddings for Property Prediction—0
Speech as a Multimodal Digital Phenotype for Multi-Task LLM-based Mental Health Prediction—0
Data Enrichment: Multi-task Learning in High Dimension with Theoretical Guarantees—0
Data-Efficiency with a Single GPU: An Exploration of Transfer Methods for Small Language Models—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