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 3551–3575 of 3687 papers

TitleStatusHype
Trace Norm Regularised Deep Multi-Task LearningCode0
Bounds for Vector-Valued Function Estimation—0
Exploiting Multi-typed Treebanks for Parsing with Deep Multi-task Learning—0
Deep Multi-task Representation Learning: A Tensor Factorisation ApproachCode0
Recurrent Neural Network for Text Classification with Multi-Task Learning—0
Fast and Accurate Performance Analysis of LTE Radio Access Networks—0
Joint Learning of Siamese CNNs and Temporally Constrained Metrics for Tracklet Association—0
Random Fourier Features for Operator-Valued Kernels—0
Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural NetworksCode0
Cross-stitch Networks for Multi-task LearningCode0
Improving sentence compression by learning to predict gaze—0
CP-mtML: Coupled Projection multi-task Metric Learning for Large Scale Face Retrieval—0
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation—0
Self-Paced Multi-Task Learning—0
Character-Level Neural Translation for Multilingual Media Monitoring in the SUMMA ProjectCode0
Domain Adaptation of Recurrent Neural Networks for Natural Language Understanding—0
Text-attentional convolutional neural network for scene text detection—0
Towards Viewpoint Invariant 3D Human Pose EstimationCode0
Action-Affect Classification and Morphing using Multi-Task Representation Learning—0
Implicit Discourse Relation Classification via Multi-Task Neural Networks—0
Distributed Multi-Task Learning with Shared Representation—0
HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender RecognitionCode0
Multi-Task Learning with Labeled and Unlabeled Tasks—0
Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning—0
DAP3D-Net: Where, What and How Actions Occur in Videos?—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