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 2176–2200 of 3687 papers

TitleStatusHype
Behavior Self-Organization Supports Task Inference for Continual Robot Learning—0
Emotion Recognition with Incomplete Labels Using Modified Multi-task Learning Technique—0
A Multi-modal and Multi-task Learning Method for Action Unit and Expression Recognition—0
FloorLevel-Net: Recognizing Floor-Level Lines with Height-Attention-Guided Multi-task Learning—0
Single Model for Influenza Forecasting of Multiple Countries by Multi-task Learning—0
Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy—0
Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation—0
An Integrated Framework for Two-pass Personalized Voice Trigger—0
Improving Prediction of Low-Prior Clinical Events with Simultaneous General Patient-State Representation Learning—0
Over-the-Air Federated Multi-Task Learning—0
Generative Modeling for Multi-task Visual Learning—0
Phoneme-aware and Channel-wise Attentive Learning for Text DependentSpeaker Verification—0
VOGUE: Answer Verbalization through Multi-Task LearningCode0
Deep Multi-Task Model for Sarcasm Detection and Sentiment Analysis in Arabic Language—0
BERT-based Multi-Task Model for Country and Province Level Modern Standard Arabic and Dialectal Arabic Identification—0
Spatio-Temporal Multi-Task Learning Transformer for Joint Moving Object Detection and Segmentation—0
Enhancing Question Generation with Commonsense Knowledge—0
Facial Action Unit Detection With Transformers—0
Practical Transferability Estimation for Image Classification Tasks—0
Three Birds with One Stone: Multi-Task Temporal Action Detection via Recycling Temporal Annotations—0
Image Change Captioning by Learning From an Auxiliary Task—0
Unsupervised Domain Adaptation for Dysarthric Speech Detection via Domain Adversarial Training and Mutual Information Minimization—0
Multi-Task Learning for User Engagement and Adoption in Live Video Streaming EventsCode0
Multi-Task Learning and Adapted Knowledge Models for Emotion-Cause Extraction—0
Multi-script Handwritten Digit Recognition Using Multi-task Learning—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