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 3576–3600 of 3687 papers

TitleStatusHype
Environmental Noise Embeddings for Robust Speech Recognition—0
Multi-task CNN Model for Attribute Prediction—0
Electricity Demand Forecasting by Multi-Task Learning—0
Embedding Label Structures for Fine-Grained Feature Representation—0
Multi-Task Learning With Low Rank Attribute Embedding for Person Re-Identification—0
Bayesian Model Adaptation for Crowd Counts—0
Learning to Transfer: Transferring Latent Task Structures and Its Application to Person-Specific Facial Action Unit Detection—0
Localize Me Anywhere, Anytime: A Multi-Task Point-Retrieval Approach—0
Transfer Learning for Speech and Language Processing—0
Patterns for Learning with Side InformationCode0
Multi-task Sequence to Sequence Learning—0
Efficient Output Kernel Learning for Multiple Tasks—0
Exclusive Sparsity Norm Minimization with Random Groups via Cone Projection—0
DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection—0
Text-Attentional Convolutional Neural Networks for Scene Text Detection—0
Distributed Multitask Learning—0
Deep Multi-task Learning for Railway Track Inspection—0
DenseBox: Unifying Landmark Localization with End to End Object DetectionCode0
Optimal percentage of inhibitory synapses in multi-task learning—0
Multi-Task Learning with Group-Specific Feature Space SharingCode0
Online Domain Adaptation for Multi-Object Tracking—0
Regularized Multi-Task Learning for Multi-Dimensional Log-Density Gradient Estimation—0
Baidu Translate: Research and Products—0
A Refined End-to-End Discourse Parser—0
Point Process Modelling of Rumour Dynamics in Social Media—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