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 3376–3400 of 3687 papers

TitleStatusHype
Graph Memory Networks for Molecular Activity Prediction—0
A Multi-task Learning Approach for Improving Product Title Compression with User Search Log Data—0
Restricted Deformable Convolution based Road Scene Semantic Segmentation Using Surround View Cameras—0
Domain Adaptation for Deep Reinforcement Learning in Visually Distinct Games—0
Multi-task Learning on MNIST Image Datasets—0
Joint autoencoders: a flexible meta-learning framework—0
Leveraging Orthographic Similarity for Multilingual Neural Transliteration—0
Multi-Task Learning for Document Ranking and Query SuggestionCode0
Large Scale Multi-Domain Multi-Task Learning with MultiModel—0
Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task Learning—0
Network-Scale Traffic Modeling and Forecasting with Graphical Lasso and Neural Networks—0
Multi-task learning of time series and its application to the travel demand—0
Multi-modal Face Pose Estimation with Multi-task Manifold Deep Learning—0
Multi-Task Learning for Mental Health using Social Media Text—0
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow RemovalCode0
Adversarial Attribute-Image Person Re-identification—0
Predicting the Popularity of Online Videos via Deep Neural Networks—0
Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic ImageryCode0
On the Automatic Generation of Medical Imaging ReportsCode0
Compression-Based Regularization with an Application to Multi-Task Learning—0
Separating Style and Content for Generalized Style TransferCode0
Personalized Driver Stress Detection with Multi-task Neural Networks using Physiological Signals—0
Towards Language-Universal End-to-End Speech Recognition—0
Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning—0
SRL4ORL: Improving Opinion Role Labeling using Multi-task Learning with Semantic Role LabelingCode0
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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