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 1826–1850 of 3687 papers

TitleStatusHype
Regularization Through Simultaneous Learning: A Case Study on Plant Classification—0
Regularized Multi-Task Learning for Multi-Dimensional Log-Density Gradient Estimation—0
Regularizing Autoencoder-Based Matrix Completion Models via Manifold Learning—0
Regularizing disparity estimation via multi task learning with structured light reconstruction—0
Reinforcement Learning Based Emotional Editing Constraint Conversation Generation—0
Related Tasks can Share! A Multi-task Framework for Affective language—0
Relation Extraction from Biomedical and Clinical Text: Unified Multitask Learning Framework—0
Relative Geometry-Aware Siamese Neural Network for 6DOF Camera Relocalization—0
Neural Relighting and Expression Transfer On Video Portraits—0
Replay spoofing detection system for automatic speaker verification using multi-task learning of noise classes—0
Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval—0
Representation Retrieval Learning for Heterogeneous Data Integration—0
Representative Task Self-selection for Flexible Clustered Lifelong Learning—0
Repulsive Mixtures—0
Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention—0
Residual acoustic echo suppression based on efficient multi-task convolutional neural network—0
Response Selection for Multi-Party Conversations withDynamic Topic Tracking—0
Response Selection for Multi-Party Conversations with Dynamic Topic Tracking—0
Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation—0
Restricted Deformable Convolution based Road Scene Semantic Segmentation Using Surround View Cameras—0
Rethinking Hard-Parameter Sharing in Multi-Domain Learning—0
BridgeNet: Comprehensive and Effective Feature Interactions via Bridge Feature for Multi-task Dense Predictions—0
Rethinking Rehearsal in Lifelong Learning: Does An Example Contribute the Plasticity or Stability?—0
Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering—0
Retrieve-and-Read: Multi-task Learning of Information Retrieval and Reading Comprehension—0
Show:102550
← PrevPage 74 of 148Next →
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