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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 3201–3225 of 3687 papers

TitleStatusHype
Linguistically-Informed Self-Attention for Semantic Role LabelingCode0
Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image SegmentationCode0
Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual DetectionCode0
Emotion-Infused Models for Explainable Psychological Stress DetectionCode0
Image Aesthetic Assessment Assisted by Attributes through Adversarial LearningCode0
IITK at SemEval-2024 Task 4: Hierarchical Embeddings for Detection of Persuasion Techniques in MemesCode0
Revisiting RCNN: On Awakening the Classification Power of Faster RCNNCode0
Neural Correction Model for Open-Domain Named Entity RecognitionCode0
LITE: Intent-based Task Representation Learning Using Weak SupervisionCode0
Revisiting the Loss Weight Adjustment in Object DetectionCode0
Convex Learning of Multiple Tasks and their StructureCode0
Revisit Multimodal Meta-Learning through the Lens of Multi-Task LearningCode0
Stylistic Multi-Task Analysis of Ukiyo-e Woodblock PrintsCode0
Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad CreativeCode0
A Multi-term and Multi-task Analyzing Framework for Affective Analysis in-the-wildCode0
Which Tasks Should Be Learned Together in Multi-task Learning?Code0
Multi-View Imputation and Cross-Attention Network Based on Incomplete Longitudinal and Multimodal Data for Conversion Prediction of Mild Cognitive ImpairmentCode0
Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative DiseasesCode0
Identifying beneficial task relations for multi-task learning in deep neural networksCode0
Less is More: Selective Layer Finetuning with SubTuningCode0
Identification of Negative Transfers in Multitask Learning Using Surrogate ModelsCode0
RLBench: The Robot Learning Benchmark & Learning EnvironmentCode0
Identification of Distorted RF Components via Deep Multi-Task LearningCode0
Loop Improvement: An Efficient Approach for Extracting Shared Features from Heterogeneous Data without Central ServerCode0
MUNBa: Machine Unlearning via Nash BargainingCode0
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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