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 3176–3200 of 3687 papers

TitleStatusHype
Decoupled Classification Refinement: Hard False Positive Suppression for Object DetectionCode0
Personalized Microblog Sentiment Classification via Adversarial Cross-lingual Multi-task Learning—0
Model Transfer with Explicit Knowledge of the Relation between Class Definitions—0
Transfer and Multi-Task Learning for Noun--Noun Compound Interpretation—0
Sentiment Expression Boundaries in Sentiment Polarity Classification—0
Predicting News Headline Popularity with Syntactic and Semantic Knowledge Using Multi-Task Learning—0
Three Strategies to Improve One-to-Many Multilingual Translation—0
Transferring from Formal Newswire Domain with Hypernet for Twitter POS Tagging—0
Exploring Named Entity Recognition As an Auxiliary Task for Slot Filling in Conversational Language Understanding—0
Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text?Code0
Legal Judgment Prediction via Topological LearningCode0
Investigating the Role of Argumentation in the Rhetorical Analysis of Scientific Publications with Neural Multi-Task Learning Models—0
Cross-topic Argument Mining from Heterogeneous Sources—0
MCapsNet: Capsule Network for Text with Multi-Task Learning—0
Learning representations for sentiment classification using Multi-task framework—0
Deep Adaptive Learning for Writer Identification based on Single Handwritten Word Images—0
Using Multi-task and Transfer Learning to Solve Working Memory Tasks—0
Multi-task Learning for Financial Forecasting—0
An analytic theory of generalization dynamics and transfer learning in deep linear networks—0
Adaptive Image Stream Classification via Convolutional Neural Network with Intrinsic Similarity Metrics—0
Left Ventricle Segmentation and Quantification from Cardiac Cine MR Images via Multi-task Learning—0
Semi-Supervised Sequence Modeling with Cross-View TrainingCode0
Learning to Recommend with Multiple Cascading Behaviors—0
Model-Protected Multi-Task LearningCode0
Transfer and Multi-Task Learning for Noun-Noun Compound InterpretationCode0
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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