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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

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Showing 1376–1400 of 3687 papers

TitleStatusHype
An Ensemble Approach for Multiple Emotion Descriptors Estimation Using Multi-task LearningCode0
Multi-Task Learning for Depression Detection in DialogsCode1
UFO: Unified Feature OptimizationCode1
Detecting Shortcut Learning for Fair Medical AI using Shortcut Testing—0
Affective Behavior Analysis using Action Unit Relation Graph and Multi-task Cross Attention—0
Multi-Task Learning for Emotion Descriptors Estimation at the fourth ABAW Challenge—0
Hybrid CNN-Transformer Model For Facial Affect Recognition In the ABAW4 Challenge—0
GenHPF: General Healthcare Predictive Framework with Multi-task Multi-source LearningCode1
Facial Affect Analysis: Learning from Synthetic Data & Multi-Task Learning ChallengesCode0
Learning from Synthetic Data: Facial Expression Classification based on Ensemble of Multi-task Networks—0
DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect EstimationCode1
HSE-NN Team at the 4th ABAW Competition: Multi-task Emotion Recognition and Learning from Synthetic Images—0
Multi-Task Learning Framework for Emotion Recognition in-the-wildCode0
SS-MFAR : Semi-supervised Multi-task Facial Affect RecognitionCode0
WideResNet with Joint Representation Learning and Data Augmentation for Cover Song Identification—0
AlexU-AIC at Arabic Hate Speech 2022: Contrast to Classify—0
Multi-Task and Transfer Learning for Federated Learning Applications—0
SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection—0
JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving ScenesCode1
Learning Flexible Translation between Robot Actions and Language Descriptions—0
Federated Multi-Task Learning for THz Wideband Channel and DoA Estimation—0
Multi-Camera View Based Proactive BS Selection and Beam Switching for V2X—0
Learning to Estimate External Forces of Human Motion in VideoCode1
GCN-based Multi-task Representation Learning for Anomaly Detection in Attributed Networks—0
A Large Scale Search Dataset for Unbiased Learning to RankCode1
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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