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 3276–3300 of 3687 papers

TitleStatusHype
A Unified Framework for Generalizable Style Transfer: Style and Content SeparationCode0
Unsupervised Meta-Learning for Reinforcement Learning—0
Multi-Task Neural Models for Translating Between Styles Within and Across LanguagesCode0
Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios—0
Multi-task learning of daily work and study round-trips from survey data—0
High Dimensional Data Enrichment: Interpretable, Fast, and Data-Efficient—0
Explainable Recommendation via Multi-Task Learning in Opinionated Text DataCode0
All-in-one: Multi-task Learning for Rumour Verification—0
Domain Adversarial Training for Accented Speech Recognition—0
Multi-Task Active Learning for Neural Semantic Role Labeling on Low Resource Conversational Corpus—0
Multi-Task Learning by Maximizing Statistical Dependence—0
Geometry-Aware Scene Text Detection With Instance Transformation Network—0
Predicting misreadings from gaze in children with reading difficulties—0
A Comparison of Character Neural Language Model and Bootstrapping for Language Identification in Multilingual Noisy Texts—0
UniMelb at SemEval-2018 Task 12: Generative Implication using LSTMs, Siamese Networks and Semantic Representations with Synonym Fuzzing—0
KU-MTL at SemEval-2018 Task 1: Multi-task Identification of Affect in Tweets—0
Learning distributed event representations with a multi-task approach—0
Gated Multi-Task Network for Text Classification—0
Learning Domain Representation for Multi-Domain Sentiment Classification—0
deepSA2018 at SemEval-2018 Task 1: Multi-task Learning of Different Label for Affect in Tweets—0
Improve Neural Entity Recognition via Multi-Task Data Selection and Constrained Decoding—0
Multi-Task Learning Framework for Mining Crowd Intelligence towards Clinical Treatment—0
Word Emotion Induction for Multiple Languages as a Deep Multi-Task Learning ProblemCode0
End-to-End Learning of Task-Oriented Dialogs—0
THU\_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task LearningCode0
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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