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
Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning—0
PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation ProjectionCode0
Linguistic representations in multi-task neural networks for ellipsis resolution—0
Universal Sentence Encoder for English—0
When does deep multi-task learning work for loosely related document classification tasks?—0
Investigating NP-Chunking with Universal Dependencies for English—0
Latent Variable Model for Multi-modal TranslationCode0
Explicitly modeling case improves neural dependency parsing—0
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
Improving label efficiency through multi-task learning on auditory data—0
On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition—0
Exploring Correlations in Multiple Facial Attributes through Graph Attention NetworkCode0
Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data—0
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 for Domain-General Spoken Disfluency Detection in Dialogue Systems—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