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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 2951–2975 of 3687 papers

TitleStatusHype
Semi-supervised Domain Adaptation for Dependency ParsingCode0
Soft Representation Learning for Sparse Transfer—0
Pentagon at MEDIQA 2019: Multi-task Learning for Filtering and Re-ranking Answers using Language Inference and Question Entailment—0
Detecting Concealed Information in Text and Speech—0
Rumor Detection by Exploiting User Credibility Information, Attention and Multi-task Learning—0
Text Categorization by Learning Predominant Sense of Words as Auxiliary TaskCode0
Incorporating Linguistic Constraints into Keyphrase Generation—0
Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings—0
A Concise Model for Multi-Criteria Chinese Word Segmentation with Transformer EncoderCode0
Deep Multi-Task Learning for Anomalous Driving Detection Using CAN Bus Scalar Sensor Data—0
Compositional Semantic Parsing Across Graphbanks—0
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised LearningCode0
EQuANt (Enhanced Question Answer Network)Code0
Multi-task Learning for Aggregated Data using Gaussian ProcessesCode0
Keyword Spotting for Hearing Assistive Devices Robust to External Speakers—0
End-to-End ASR for Code-switched Hindi-English Speech—0
Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data—0
Graph Star Net for Generalized Multi-Task LearningCode0
Learning to segment microscopy images with lazy labels—0
3D Instance Segmentation via Multi-Task Metric Learning—0
Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors—0
Improving Sentiment Analysis with Multi-task Learning of NegationCode0
Better transfer learning with inferred successor maps—0
Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and VideosCode0
A Multi-Task Architecture on Relevance-based Neural Query Translation—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