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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 191–200 of 3687 papers

TitleStatusHype
Vulnerability-Aware Spatio-Temporal Learning for Generalizable and Interpretable Deepfake Video DetectionCode0
DiagrammaticLearning: A Graphical Language for Compositional Training Regimes—0
Modeling Multi-Task Model Merging as Adaptive Projective Gradient DescentCode1
Towards Consistent Multi-Task Learning: Unlocking the Potential of Task-Specific Parameters—0
ALIEN: Implicit Neural Representations for Human Motion Prediction under Arbitrary Latency—0
Identifying and Mitigating Spurious Correlation in Multi-Task Learning—0
Z-Magic: Zero-shot Multiple Attributes Guided Image Creator—0
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning—0
Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction—0
TADFormer: Task-Adaptive Dynamic TransFormer for Efficient 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