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 826–850 of 3687 papers

TitleStatusHype
Dependency Parsing as Sequence Labeling with Head-Based Encoding and Multi-Task Learning—0
Dependent Multi-Task Learning with Causal Intervention for Image Captioning—0
DEPHN: Different Expression Parallel Heterogeneous Network using virtual gradient optimization for Multi-task Learning—0
Deploying Multi-task Online Server with Large Language Model—0
Dedge-AGMNet:an effective stereo matching network optimized by depth edge auxiliary task—0
A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty—0
Derivative Free Weight-space Ensembling—0
Deep Mixture of Diverse Experts for Large-Scale Visual Recognition—0
Design of Real-time Semantic Segmentation Decoder for Automated Driving—0
Deeply Learned Attributes for Crowded Scene Understanding—0
Design Perspectives of Multitask Deep Learning Models and Applications—0
Generalizing Hate Speech Detection Using Multi-Task Learning: A Case Study of Political Public Figures—0
A Multi-modal Fusion Framework Based on Multi-task Correlation Learning for Cancer Prognosis Prediction—0
A Deep Learning Method for Real-time Bias Correction of Wind Field Forecasts in the Western North Pacific—0
Detecting Concealed Information in Text and Speech—0
Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0—0
Automatic Expert Selection for Multi-Scenario and Multi-Task Search—0
Audio-Visual Speech Inpainting with Deep Learning—0
A multi-task learning-based optimization approach for finding diverse sets of material microstructures with desired properties and its application to texture optimization—0
Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning—0
Deep Learning for Automatic Quality Grading of Mangoes: Methods and Insights—0
A Multi-modal and Multi-task Learning Method for Action Unit and Expression Recognition—0
Developing a High-performance Framework for Speech Emotion Recognition in Naturalistic Conditions Challenge for Emotional Attribute Prediction—0
Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer—0
Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks—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