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 1526–1550 of 3687 papers

TitleStatusHype
Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time-Series ForecastCode0
H2H: Heterogeneous Model to Heterogeneous System Mapping with Computation and Communication AwarenessCode0
UniTE: Unified Translation EvaluationCode1
Multi-task learning improves synthetic speech detectionCode0
Human-Centered Prior-Guided and Task-Dependent Multi-Task Representation Learning for Action Recognition Pre-Training—0
Multi-task Learning-based CSI Feedback Design in Multiple Scenarios—0
SkillSpan: Hard and Soft Skill Extraction from English Job PostingsCode1
SkillNet-NLG: General-Purpose Natural Language Generation with a Sparsely Activated Approach—0
Hierarchical Bayesian Modelling for Knowledge Transfer Across Engineering Fleets via Multitask LearningCode1
Multi-task Learning for Concurrent Prediction of Thermal Comfort, Sensation, and Preference—0
It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation ClassifiersCode0
"Think Before You Speak": Improving Multi-Action Dialog Policy by Planning Single-Action DialogsCode0
Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning—0
iCAR: Bridging Image Classification and Image-text Alignment for Visual RecognitionCode0
Multi-task Deep Neural Networks for Massive MIMO CSI Feedback—0
Towards Unification of Discourse Annotation Frameworks—0
Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners—0
UniGDD: A Unified Generative Framework for Goal-Oriented Document-Grounded DialogueCode0
In-BoXBART: Get Instructions into Biomedical Multi-Task LearningCode2
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender SystemsCode0
Leveraging convergence behavior to balance conflicting tasks in multi-task learningCode1
End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and Multi-agentCode1
Medusa: Universal Feature Learning via Attentional Multitasking—0
Learning heuristics for A*—0
Improving Few-Shot Part Segmentation using Coarse Supervision—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