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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

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Showing 2376–2400 of 3687 papers

TitleStatusHype
Knowledge transfer between bridges for drive-by monitoring using adversarial and multi-task learning—0
Knowledge Transfer in Model-Based Reinforcement Learning Agents for Efficient Multi-Task Learning—0
KOAS: Korean Text Offensiveness Analysis System—0
Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking—0
KuaiSAR: A Unified Search And Recommendation Dataset—0
KU-MTL at SemEval-2018 Task 1: Multi-task Identification of Affect in Tweets—0
Label Budget Allocation in Multi-Task Learning—0
Language-Independent Representor for Neural Machine Translation—0
Language Modelling as a Multi-Task Problem—0
Large Dimensional Analysis and Improvement of Multi Task Learning—0
Large Language Model-aided Edge Learning in Distribution System State Estimation—0
Large Language Model as a Universal Clinical Multi-task Decoder—0
Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment—0
Large Margin Multi-Task Metric Learning—0
DeepAnalyze: Learning to Localize Crashes at Scale—0
Large-Scale Meta-Learning with Continual Trajectory Shifting—0
Large Scale Multi-Domain Multi-Task Learning with MultiModel—0
Large-Scale Music Annotation and Retrieval: Learning to Rank in Joint Semantic Spaces—0
Latent Group Structured Multi-task Learning—0
LaTeX-Numeric: Language-agnostic Text attribute eXtraction for E-commerce Numeric Attributes—0
LATEX-Numeric: Language Agnostic Text Attribute Extraction for Numeric Attributes—0
Layer-Aware Task Arithmetic: Disentangling Task-Specific and Instruction-Following Knowledge—0
Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models—0
Leader360V: The Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment—0
LEAF: A Benchmark for Federated Settings—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