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

Showing 35263550 of 3687 papers

TitleStatusHype
Stochastic Variational Deep Kernel Learning0
Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition0
A General Regularization Framework for Domain Adaptation0
Exploiting Mutual Benefits between Syntax and Semantic Roles using Neural Network0
Improving historical spelling normalization with bi-directional LSTMs and multi-task learning0
A multi-task learning model for malware classification with useful file access pattern from API call sequence0
Neural Joint Learning for Classifying Wikipedia Articles into Fine-grained Named Entity Types0
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
Asynchronous Multi-Task LearningCode0
Learning to Push by Grasping: Using multiple tasks for effective learning0
Deep Multi-Task Learning with Shared Memory0
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 Media0
Ask the GRU: Multi-Task Learning for Deep Text Recommendations0
Transferring Object-Scene Convolutional Neural Networks for Event Recognition in Still Images0
Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning0
Modeling Social Norms Evolution for Personalized Sentiment Classification0
Sentiment Domain Adaptation with Multiple Sources0
Deep multi-task learning with low level tasks supervised at lower layers0
Knowledge Base Completion via Coupled Path Ranking0
Constrained Multi-Task Learning for Automated Essay Scoring0
Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy0
Learning from Multiway Data: Simple and Efficient Tensor Regression0
Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PCGrad∆m%125.7Unverified
2CAGrad∆m%112.8Unverified
3IMTL-G∆m%77.2Unverified
4Nash-MTL∆m%62Unverified
5BayesAgg-MTL∆m%53.7Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLmIoU76.41Unverified
2Nash-MTLmIoU75.41Unverified
3MultiObjectiveOptimizationmIoU66.63Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLMean IoU58.14Unverified
2Nash-MTLMean IoU40.13Unverified
#ModelMetricClaimedVerifiedStatus
1Gumbel-Matrix RoutingAverage Accuracy93.52Unverified
2Mixture-of-ExpertsAverage Accuracy92.19Unverified
#ModelMetricClaimedVerifiedStatus
1MGDA-UBError8.25Unverified
#ModelMetricClaimedVerifiedStatus
1BayesAgg-MTLdelta_m-2.23Unverified
#ModelMetricClaimedVerifiedStatus
1LETRFH83.3Unverified