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

Showing 526550 of 3687 papers

TitleStatusHype
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task LearningCode1
COVID-CT-Dataset: A CT Scan Dataset about COVID-19Code1
Multi-Task Reinforcement Learning with Soft ModularizationCode1
A Unified Object Motion and Affinity Model for Online Multi-Object TrackingCode1
Multi-task Learning with Coarse Priors for Robust Part-aware Person Re-identificationCode1
DisCor: Corrective Feedback in Reinforcement Learning via Distribution CorrectionCode1
Evaluating Logical Generalization in Graph Neural NetworksCode1
Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point CloudsCode1
Indoor Scene Recognition in 3DCode1
Lipschitz standardization for multivariate learningCode1
End-to-end Emotion-Cause Pair Extraction via Learning to LinkCode1
Speech-to-Singing Conversion in an Encoder-Decoder FrameworkCode1
Deeper Task-Specificity Improves Joint Entity and Relation ExtractionCode1
Zero-Resource Cross-Domain Named Entity RecognitionCode1
SpotNet: Self-Attention Multi-Task Network for Object DetectionCode1
Salvaging Federated Learning by Local AdaptationCode1
Learning to Incorporate Structure Knowledge for Image InpaintingCode1
Self-supervised ECG Representation Learning for Emotion RecognitionCode1
Lane Detection in Low-light Conditions Using an Efficient Data Enhancement : Light Conditions Style TransferCode1
Bridging Text and Video: A Universal Multimodal Transformer for Video-Audio Scene-Aware DialogCode1
Gradient Surgery for Multi-Task LearningCode1
MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task LearningCode1
A Knowledge-Enhanced Pretraining Model for Commonsense Story GenerationCode1
Stance Detection Benchmark: How Robust Is Your Stance Detection?Code1
Two-Level Transformer and Auxiliary Coherence Modeling for Improved Text SegmentationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PCGrad∆m%125.7Unverified
2CAGrad∆m%112.8Unverified
3IMTL-G∆m%77.2Unverified
4Nash-MTL∆m%62Unverified
5BayesAgg-MTL∆m%53.7Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLmIoU76.41Unverified
2Nash-MTLmIoU75.41Unverified
3MultiObjectiveOptimizationmIoU66.63Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLMean IoU58.14Unverified
2Nash-MTLMean IoU40.13Unverified
#ModelMetricClaimedVerifiedStatus
1Gumbel-Matrix RoutingAverage Accuracy93.52Unverified
2Mixture-of-ExpertsAverage Accuracy92.19Unverified
#ModelMetricClaimedVerifiedStatus
1MGDA-UBError8.25Unverified
#ModelMetricClaimedVerifiedStatus
1BayesAgg-MTLdelta_m-2.23Unverified
#ModelMetricClaimedVerifiedStatus
1LETRFH83.3Unverified