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
Cross-topic Argument Mining from Heterogeneous Sources—0
Legal Judgment Prediction via Topological LearningCode0
Personalized Microblog Sentiment Classification via Adversarial Cross-lingual 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
Predicting News Headline Popularity with Syntactic and Semantic Knowledge Using Multi-Task Learning—0
MCapsNet: Capsule Network for Text with Multi-Task Learning—0
Transfer and Multi-Task Learning for Noun--Noun Compound Interpretation—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
Adaptive Image Stream Classification via Convolutional Neural Network with Intrinsic Similarity Metrics—0
An analytic theory of generalization dynamics and transfer learning in deep linear networks—0
Multi-task Learning for Financial Forecasting—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
Transfer and Multi-Task Learning for Noun-Noun Compound InterpretationCode0
Model-Protected Multi-Task LearningCode0
Multi-task Learning with Sample Re-weighting for Machine Reading ComprehensionCode0
Powerful, transferable representations for molecules through intelligent task selection in deep multitask networks—0
Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering—0
Multi-task Deep Reinforcement Learning with PopArtCode0
Emo2Vec: Learning Generalized Emotion Representation by Multi-task TrainingCode0
Beyond task success: A closer look at jointly learning to see, ask, and GuessWhatCode0
Multi-Target Prediction: A Unifying View on Problems and Methods—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