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 151175 of 3687 papers

TitleStatusHype
Deep Homography Estimation for Dynamic ScenesCode1
AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT ImagesCode1
DaWin: Training-free Dynamic Weight Interpolation for Robust AdaptationCode1
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft PromptsCode1
DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task LearningCode1
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CTCode1
DisCor: Corrective Feedback in Reinforcement Learning via Distribution CorrectionCode1
Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in TextsCode1
A Knowledge-Enhanced Pretraining Model for Commonsense Story GenerationCode1
A Large Scale Search Dataset for Unbiased Learning to RankCode1
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment AnalysisCode1
Dataless Knowledge Fusion by Merging Weights of Language ModelsCode1
A Paragraph-level Multi-task Learning Model for Scientific Fact-VerificationCode1
Deeper Task-Specificity Improves Joint Entity and Relation ExtractionCode1
APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task LearningCode1
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential RecommendationCode1
CTIN: Robust Contextual Transformer Network for Inertial NavigationCode1
A Recurrent Vision-and-Language BERT for NavigationCode1
Adaptive Transfer Learning on Graph Neural NetworksCode1
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object TrackingCode1
DenseMTL: Cross-task Attention Mechanism for Dense Multi-task LearningCode1
DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense PredictionCode1
AdaRank: Adaptive Rank Pruning for Enhanced Model MergingCode1
DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect EstimationCode1
An Investigation of End-to-End Models for Robust Speech RecognitionCode1
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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