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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 3526–3550 of 3687 papers

TitleStatusHype
Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data—0
Exploiting Mutual Benefits between Syntax and Semantic Roles using Neural Network—0
Deep Multi-Task Learning with Shared Memory for Text Classification—0
Stochastic Variational Deep Kernel Learning—0
Improving historical spelling normalization with bi-directional LSTMs and multi-task learning—0
A multi-task learning model for malware classification with useful file access pattern from API call sequence—0
融合多任務學習類神經網路聲學模型訓練於會議語音辨識之研究(Leveraging Multi-task Learning with Neural Network Based Acoustic Modeling for Improved Meeting Speech Recognition) [In Chinese]—0
Neural Joint Learning for Classifying Wikipedia Articles into Fine-grained Named Entity Types—0
Asynchronous Multi-Task LearningCode0
Learning to Push by Grasping: Using multiple tasks for effective learning—0
Deep Multi-Task Learning with Shared Memory—0
Joint CTC-Attention based End-to-End Speech Recognition using Multi-task LearningCode0
DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural ImagesCode0
Using Gaussian Processes for Rumour Stance Classification in Social Media—0
Ask the GRU: Multi-Task Learning for Deep Text Recommendations—0
Transferring Object-Scene Convolutional Neural Networks for Event Recognition in Still Images—0
Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning—0
Knowledge Base Completion via Coupled Path Ranking—0
Modeling Social Norms Evolution for Personalized Sentiment Classification—0
Sentiment Domain Adaptation with Multiple Sources—0
Deep multi-task learning with low level tasks supervised at lower layers—0
Constrained Multi-Task Learning for Automated Essay Scoring—0
Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy—0
Learning from Multiway Data: Simple and Efficient Tensor Regression—0
Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method—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