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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 2051–2075 of 3687 papers

TitleStatusHype
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving—0
Synergic Adversarial Label Learning for Grading Retinal Diseases via Knowledge Distillation and Multi-task Learning—0
SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-task Learning—0
Syntactic Graph Convolutional Network for Spoken Language Understanding—0
Syntax-aware Multi-task Graph Convolutional Networks for Biomedical Relation Extraction—0
Syntax-Aware Opinion Role Labeling with Dependency Graph Convolutional Networks—0
Syntax-Informed Interactive Model for Comprehensive Aspect-Based Sentiment Analysis—0
Synthetic Data Generation and Multi-Task Learning for Extracting Temporal Information from Health-Related Narrative Text—0
Synthetic Photovoltaic and Wind Power Forecasting Data—0
Synthetic Tumor Manipulation: With Radiomics Features—0
Tackling Ordinal Regression Problem for Heterogeneous Data: Sparse and Deep Multi-Task Learning Approaches—0
Tackling Multiple Tasks with One Single Learning Framework—0
TA-DA: Topic-Aware Domain Adaptation for Scientific Keyphrase Identification and Classification (Student Abstract)—0
TADFormer : Task-Adaptive Dynamic Transformer for Efficient Multi-Task Learning—0
TADFormer: Task-Adaptive Dynamic TransFormer for Efficient Multi-Task Learning—0
TAL EmotioNet Challenge 2020 Rethinking the Model Chosen Problem in Multi-Task Learning—0
taochen at SemEval-2022 Task 5: Multimodal Multitask Learning and Ensemble Learning—0
Task adaption by biologically inspired stochastic comodulation—0
Task Addition in Multi-Task Learning by Geometrical Alignment—0
Task Arithmetic Through The Lens Of One-Shot Federated Learning—0
Adaptive Pattern Extraction Multi-Task Learning for Multi-Step Conversion Estimations—0
Task-Aware Low-Rank Adaptation of Segment Anything Model—0
TASK AWARE MULTI-TASK LEARNING FOR SPEECH TO TEXT TASKS—0
Task-Based Top-Down Modulation Network for Multi-Task-Learning Applications—0
Task-driven real-world super-resolution of document scans—0
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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