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 21–30 of 3687 papers

TitleStatusHype
Task-driven real-world super-resolution of document scans—0
IQFM A Wireless Foundational Model for I/Q Streams in AI-Native 6G—0
Graph Neural Networks in Modern AI-aided Drug Discovery—0
A Framework for Controllable Multi-objective Learning with Annealed Stein Variational Hypernetworks—0
An SCMA Receiver for 6G NTN based on Multi-Task Learning—0
Just a Scratch: Enhancing LLM Capabilities for Self-harm Detection through Intent Differentiation and Emoji Interpretation—0
Distributional encoding for Gaussian process regression with qualitative inputs—0
A Learned Cost Model-based Cross-engine Optimizer for SQL Workloads—0
Mixpert: Mitigating Multimodal Learning Conflicts with Efficient Mixture-of-Vision-Experts—0
Multi-task Learning for Heterogeneous Multi-source Block-Wise Missing 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