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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 2751–2775 of 3687 papers

TitleStatusHype
Posterior regularization for Joint Modeling of Multiple Structured Prediction Tasks with Soft Constraints—0
Post-Hoc Explainability of BI-RADS Descriptors in a Multi-task Framework for Breast Cancer Detection and Segmentation—0
Powerful, transferable representations for molecules through intelligent task selection in deep multitask networks—0
Practical Lessons on Optimizing Sponsored Products in eCommerce—0
Practical Semantic Parsing for Spoken Language Understanding—0
Practical Transferability Estimation for Image Classification Tasks—0
A Multi-task Model for Multilingual Trigger Detection and Classification—0
Predicting Adverse Neonatal Outcomes for Preterm Neonates with Multi-Task Learning—0
Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing—0
Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising—0
Predicting misreadings from gaze in children with reading difficulties—0
Predicting Multiple Attributes via Relative Multi-task Learning—0
Action2Activity: Recognizing Complex Activities from Sensor Data—0
Predicting News Headline Popularity with Syntactic and Semantic Knowledge Using Multi-Task Learning—0
Predicting Risk of Developing Diabetic Retinopathy using Deep Learning—0
Predicting the Popularity of Online Videos via Deep Neural Networks—0
A Multi-Task Learning Neural Network for Emotion-Cause Pair Extraction—0
A multi-task learning network using shared BERT models for aspect-based sentiment analysis—0
PrefixMol: Target- and Chemistry-aware Molecule Design via Prefix Embedding—0
Preliminary Steps Towards Federated Sentiment Classification—0
Unified Segment-to-Segment Framework for Simultaneous Sequence Generation—0
Preserving background sound in noise-robust voice conversion via multi-task learning—0
Pre-train, Adapt and Detect: Multi-Task Adapter Tuning for Camouflaged Object Detection—0
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning—0
A Multi-Task Learning Model for Super Resolution of Wireless Channel Characteristics—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