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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 1311–1320 of 3687 papers

TitleStatusHype
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification—0
HyperGrid Transformers: Towards A Single Model for Multiple Tasks—0
FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration—0
Constrained Multi-Task Learning for Automated Essay Scoring—0
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks—0
Grape Cold Hardiness Prediction via Multi-Task Learning—0
Hybrid CNN-Transformer Model For Facial Affect Recognition In the ABAW4 Challenge—0
Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network With Bilateral Graph Convolution—0
Graph-Based Neural Network Models with Multiple Self-Supervised Auxiliary Tasks—0
Consistency Training of Multi-exit Architectures for Sensor Data—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