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 3476–3500 of 3687 papers

TitleStatusHype
One Shot Joint Colocalization and Cosegmentation—0
Will my auxiliary tagging task help? Estimating Auxiliary Tasks Effectivity in Multi-Task Learning—0
Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning—0
Multi-Task Video Captioning with Video and Entailment Generation—0
Structured low-rank matrix learning: algorithms and applications—0
Learning weakly supervised multimodal phoneme embeddings—0
Neural End-to-End Learning for Computational Argumentation MiningCode0
Adversarial Multi-task Learning for Text Classification—0
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian ProcessesCode0
Multi-Task Learning of Keyphrase Boundary Classification—0
Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks—0
Multitask Learning for Mental Health Conditions with Limited Social Media Data—0
Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks—0
Cross-modal Deep Metric Learning with Multi-task Regularization—0
DRAGNN: A Transition-based Framework for Dynamically Connected Neural NetworksCode0
A New Representation of Skeleton Sequences for 3D Action Recognition—0
English Conversational Telephone Speech Recognition by Humans and Machines—0
A Novel Multi-task Deep Learning Model for Skin Lesion Segmentation and Classification—0
Improving Object Detection with Region Similarity Learning—0
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy—0
Identifying beneficial task relations for multi-task learning in deep neural networksCode0
Co-evolutionary multi-task learning for dynamic time series predictionCode0
Learning to Multi-Task by Active SamplingCode0
Multi-Task Convolutional Neural Network for Pose-Invariant Face RecognitionCode0
Coordinated Online Learning With Applications to Learning User Preferences—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