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 3151–3175 of 3687 papers

TitleStatusHype
Multi-Task Learning for Left Atrial Segmentation on GE-MRICode0
MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine Collaboration in Breast Cancer Diagnosis—0
Reinforcement Learning and Deep Learning based Lateral Control for Autonomous DrivingCode0
Multi-label Multi-task Deep Learning for Behavioral Coding—0
K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning—0
Meta-Learning Multi-task Communication—0
End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging—0
On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition—0
Improving label efficiency through multi-task learning on auditory data—0
Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data—0
Exploring Correlations in Multiple Facial Attributes through Graph Attention NetworkCode0
Optical Font Recognition in Smartphone-Captured Images, and its Applicability for ID Forgery Detection—0
Towards a One-stop Solution to Both Aspect Extraction and Sentiment Analysis Tasks with Neural Multi-task Learning—0
Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks—0
Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes—0
Global Inference for Aspect and Opinion Terms Co-Extraction Based on Multi-Task Neural Networks—0
Multi-Task Learning as Multi-Objective OptimizationCode2
Multi-Task Learning for Domain-General Spoken Disfluency Detection in Dialogue Systems—0
Decoupled Classification Refinement: Hard False Positive Suppression for Object DetectionCode0
Sentiment Expression Boundaries in Sentiment Polarity Classification—0
Exploring Named Entity Recognition As an Auxiliary Task for Slot Filling in Conversational Language Understanding—0
Learning representations for sentiment classification using Multi-task framework—0
Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text?Code0
Model Transfer with Explicit Knowledge of the Relation between Class Definitions—0
Investigating the Role of Argumentation in the Rhetorical Analysis of Scientific Publications with Neural Multi-Task Learning Models—0
Show:102550
← PrevPage 127 of 148Next →
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