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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 1376–1400 of 3687 papers

TitleStatusHype
Hierarchical Multi-Task Learning Framework for Session-based Recommendations—0
Hierarchical Multi Task Learning With CTC—0
Hierarchical Multi Task Learning with Subword Contextual Embeddings for Languages with Rich Morphology—0
FPAN: Fine-grained and Progressive Attention Localization Network for Data Retrieval—0
Hierarchical Prompt Learning for Multi-Task Learning—0
For the Misgendered Chinese in Gender Bias Research: Multi-Task Learning with Knowledge Distillation for Pinyin Name-Gender Prediction—0
Hierarchical Ranking for Answer Selection—0
CO-Net: Learning Multiple Point Cloud Tasks at Once with A Cohesive Network—0
High-Dimensional Bayesian Optimization with Multi-Task Learning for RocksDB—0
High Dimensional Data Enrichment: Interpretable, Fast, and Data-Efficient—0
High-dimensional Joint Sparsity Random Effects Model for Multi-task Learning—0
High Efficiency Pedestrian Crossing Prediction—0
Highly Scalable Task Grouping for Deep Multi-Task Learning in Prediction of Epigenetic Events—0
High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction—0
Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction—0
Forecasting Smog Clouds With Deep Learning—0
It Takes Nine to Smell a Rat: Neural Multi-Task Learning for Check-Worthiness Prediction—0
Forecasting battery capacity and power degradation with multi-task learning—0
FoodLMM: A Versatile Food Assistant using Large Multi-modal Model—0
HLT@SUDA at SemEval-2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing—0
Improving Perceptual Quality, Intelligibility, and Acoustics on VoIP Platforms—0
Improving Prediction of Low-Prior Clinical Events with Simultaneous General Patient-State Representation Learning—0
HOMADOS at SemEval-2021 Task 6: Multi-Task Learning for Propaganda Detection—0
ConceptDistil: Model-Agnostic Distillation of Concept Explanations—0
A high-precision underwater object detection based on joint self-supervised deblurring and improved spatial transformer network—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