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 301–325 of 3687 papers

TitleStatusHype
BoIR: Box-Supervised Instance Representation for Multi-Person Pose EstimationCode1
Exploiting Shared Representations for Personalized Federated LearningCode1
AdaMerging: Adaptive Model Merging for Multi-Task LearningCode1
An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and NormalizationCode1
AIONER: All-in-one scheme-based biomedical named entity recognition using deep learningCode1
Gradient Remedy for Multi-Task Learning in End-to-End Noise-Robust Speech RecognitionCode1
GRANITE: A Graph Neural Network Model for Basic Block Throughput EstimationCode1
Graph-based Person Signature for Person Re-IdentificationsCode1
Camera Calibration through Camera Projection LossCode1
Grounding Psychological Shape Space in Convolutional Neural NetworksCode1
A Paragraph-level Multi-task Learning Model for Scientific Fact-VerificationCode1
Heterogeneous Multi-task Learning with Expert DiversityCode1
APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task LearningCode1
Cascading Residual Graph Convolutional Network for Multi-Behavior RecommendationCode1
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential RecommendationCode1
CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation SystemsCode1
A Knowledge-Enhanced Pretraining Model for Commonsense Story GenerationCode1
Hierarchical Pronunciation Assessment with Multi-Aspect AttentionCode1
Evidentiality-guided Generation for Knowledge-Intensive NLP TasksCode1
How emotional are you? Neural Architectures for Emotion Intensity Prediction in MicroblogsCode1
Exploring Correlations of Self-Supervised Tasks for GraphsCode1
A Large Scale Search Dataset for Unbiased Learning to RankCode1
Flexible Style Image Super-Resolution using Conditional ObjectiveCode1
Hyperparameter optimization in deep multi-target predictionCode1
An End-to-End Multi-Task Learning Model for Image-based Table RecognitionCode1
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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