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 2151–2175 of 3687 papers

TitleStatusHype
Revisiting Model's Uncertainty and Confidences for Adversarial Example DetectionCode0
Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and ArticlesCode1
"Sharks are not the threat humans are": Argument Component Segmentation in School Student Essays—0
Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT—0
Harnessing Geometric Constraints from Emotion Labels to improve Face Verification—0
MD-MTL: An Ensemble Med-Multi-Task Learning Package for DiseaseScores Prediction and Multi-Level Risk Factor Analysis—0
Multi-task Learning by Leveraging the Semantic Information—0
RotoGrad: Gradient Homogenization in Multitask LearningCode1
Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data—0
Incorporating VAD into ASR System by Multi-task Learning—0
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning FrameworkCode1
Multi-Task Attentive Residual Networks for Argument MiningCode1
UniT: Multimodal Multitask Learning with a Unified TransformerCode0
Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person SearchCode0
Sign-regularized Multi-task Learning—0
Intrinsically Motivated Open-Ended Multi-Task Learning Using Transfer Learning to Discover Task HierarchyCode0
Efficient Reinforcement Learning in Resource Allocation Problems Through Permutation Invariant Multi-task Learning—0
Jointly Learning Clinical Entities and Relations with Contextual Language Models and Explicit Context—0
Large-Scale Meta-Learning with Continual Trajectory Shifting—0
Multi-Objective Meta Learning—0
Sliced Multi-Marginal Optimal Transport—0
Distillation based Multi-task Learning: A Candidate Generation Model for Improving Reading Duration—0
A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian RegularizationCode1
Exploiting Shared Representations for Personalized Federated LearningCode1
Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels—0
Show:102550
← PrevPage 87 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