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 451475 of 3687 papers

TitleStatusHype
π-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task InterpolationCode1
Bayesian Uncertainty for Gradient Aggregation in Multi-Task LearningCode1
Flexible Style Image Super-Resolution using Conditional ObjectiveCode1
Florence-2: Advancing a Unified Representation for a Variety of Vision TasksCode1
Forgetting to learn logic programsCode1
Radiomics-enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck CancerCode1
Reasoning in Dialog: Improving Response Generation by Context Reading ComprehensionCode1
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less ForgettingCode1
An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure SystemsCode1
GaitFormer: Learning Gait Representations with Noisy Multi-Task LearningCode1
Hierarchical Multi-Label Classification of Scientific DocumentsCode1
Reinforcement Learning for Mixed Autonomy IntersectionsCode1
Hierarchical Pronunciation Assessment with Multi-Aspect AttentionCode1
HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information ExtractionCode1
Generalized Multi-Task Learning from Substantially Unlabeled Multi-Source Medical Image DataCode1
Beyond expectation: Deep joint mean and quantile regression for spatio-temporal problemsCode1
How emotional are you? Neural Architectures for Emotion Intensity Prediction in MicroblogsCode1
Retinal Structure Detection in OCTA Image via Voting-based Multi-task LearningCode1
Revisiting Weight Averaging for Model MergingCode1
REX: Reasoning-aware and Grounded ExplanationCode1
A Multi-view Multi-task Learning Framework for Multi-variate Time Series ForecastingCode1
Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning FrameworkCode1
Acoustic Prompt Tuning: Empowering Large Language Models with Audition CapabilitiesCode1
Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point CloudsCode1
An Empirical Study of Multi-Task Learning on BERT for Biomedical Text MiningCode1
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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