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 3051–3075 of 3687 papers

TitleStatusHype
Episodic Multi-Task Learning with Heterogeneous Neural ProcessesCode0
Latent Multi-task Architecture LearningCode0
Latent Variable Model for Multi-modal TranslationCode0
DaN+: Danish Nested Named Entities and Lexical NormalizationCode0
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP TasksCode0
Interpetable Target-Feature Aggregation for Multi-Task Learning based on Bias-Variance AnalysisCode0
AirCast: Improving Air Pollution Forecasting Through Multi-Variable Data AlignmentCode0
Recognizing Emotions evoked by Movies using Multitask LearningCode0
LCT-1 at SemEval-2023 Task 10: Pre-training and Multi-task Learning for Sexism Detection and ClassificationCode0
Reconciling Object-Level and Global-Level Objectives for Long-Tail DetectionCode0
Internal-transfer Weighting of Multi-task Learning for Lung Cancer DetectionCode0
Cyclic Guidance for Weakly Supervised Joint Detection and SegmentationCode0
Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement LearningCode0
Learned Weight Sharing for Deep Multi-Task Learning by Natural Evolution Strategy and Stochastic Gradient DescentCode0
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential RecommendationCode0
Byzantine Resilient Distributed Multi-Task LearningCode0
Burst2Vec: An Adversarial Multi-Task Approach for Predicting Emotion, Age, and Origin from Vocal BurstsCode0
ENPAR:Enhancing Entity and Entity Pair Representations for Joint Entity Relation ExtractionCode0
Learning a Repression Network for Precise Vehicle SearchCode0
SRL4ORL: Improving Opinion Role Labeling using Multi-task Learning with Semantic Role LabelingCode0
Learning A Unified Named Entity Tagger From Multiple Partially Annotated Corpora For Efficient AdaptationCode0
SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised LearningCode0
SS-MFAR : Semi-supervised Multi-task Facial Affect RecognitionCode0
Multi-task Ensembles with Crowdsourced Features Improve Skin Lesion DiagnosisCode0
Towards a Unified Conversational Recommendation System: Multi-task Learning via Contextualized Knowledge DistillationCode0
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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