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 2376–2400 of 3687 papers

TitleStatusHype
A Federated Learning Approach to Anomaly Detection in Smart Buildings—0
Pedestrian Intention Prediction: A Multi-task PerspectiveCode1
Predicting Chemical Properties using Self-Attention Multi-task Learning based on SMILES RepresentationCode0
Adversarial Training for Code Retrieval with Question-Description Relevance RegularizationCode0
Training Flexible Depth Model by Multi-Task Learning for Neural Machine Translation—0
Multi-task Learning of Negation and Speculation for Targeted Sentiment ClassificationCode0
Hyperparameter Auto-tuning in Self-Supervised Robotic LearningCode0
Aerodynamic Data Predictions Based on Multi-task Learning—0
Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns—0
Multi-Task Learning for Cross-Lingual Abstractive Summarization—0
Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study—0
Response Selection for Multi-Party Conversations withDynamic Topic Tracking—0
A Generalized Zero-Shot Framework for Emotion Recognition from Body Gestures—0
Controllable Pareto Multi-Task Learning—0
Channel Type Recognition in Wireless Communications: A Deep Learning Approach—0
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual ModelsCode1
fairseq S2T: Fast Speech-to-Text Modeling with fairseqCode0
Deep Multi-Task Learning for SSVEP Detection and Visual Response MappingCode1
Toward Micro-Dialect Identification in Diaglossic and Code-Switched EnvironmentsCode1
Audio-Visual Speech Inpainting with Deep Learning—0
Age and Gender Prediction From Face Images Using Attentional Convolutional Network—0
Learning the Pareto Front with HypernetworksCode1
Domain Adversarial Neural Networks for Dysarthric Speech Recognition—0
The Effective Methods for Intrusion Detection With Limited Network Attack Data: Multi-Task Learning and Oversampling—0
Parallax Motion Effect Generation Through Instance Segmentation And Depth Estimation—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