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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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 651–675 of 3687 papers

TitleStatusHype
Multi-task learning-based temporal pattern matching network for guitar tablature transcription—0
Energy Weighted Learning Progress Guided Interleaved Multi-Task Learning—0
AMMSM: Adaptive Motion Magnification and Sparse Mamba for Micro-Expression Recognition—0
Multi-Task Learning for Extracting Menstrual Characteristics from Clinical Notes—0
BoundMatch: Boundary detection applied to semi-supervised segmentation for urban-driving scenes—0
GPT Meets Graphs and KAN Splines: Testing Novel Frameworks on Multitask Fine-Tuned GPT-2 with LoRA—0
Hierarchical Adaptive Expert for Multimodal Sentiment Analysis—0
ModalTune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-task Learning in Digital Pathology—0
Incomplete Utterance Rewriting with Editing Operation Guidance and Utterance AugmentationCode0
Automatically Generating Chinese Homophone Words to Probe Machine Translation Estimation SystemsCode0
Temporal-Spatial Attention Network (TSAN) for DoS Attack Detection in Network Traffic—0
Multi-task Learning for Identification of Porcelain in Song and Yuan Dynasties—0
TuneNSearch: a hybrid transfer learning and local search approach for solving vehicle routing problems—0
FW-Merging: Scaling Model Merging with Frank-Wolfe OptimizationCode0
A Weighted Predict-and-Optimize Framework for Power System Operation Considering Varying Impacts of Uncertainty—0
Representation Retrieval Learning for Heterogeneous Data Integration—0
From Task-Specific Models to Unified Systems: A Review of Model Merging Approaches—0
SIMAC: A Semantic-Driven Integrated Multimodal Sensing And Communication Framework—0
ObjectMover: Generative Object Movement with Video Prior—0
Injecting Imbalance Sensitivity for Multi-Task Learning—0
MoRE: Unlocking Scalability in Reinforcement Learning for Quadruped Vision-Language-Action Models—0
AnywhereDoor: Multi-Target Backdoor Attacks on Object DetectionCode0
Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks—0
MARRO: Multi-headed Attention for Rhetorical Role Labeling in Legal Documents—0
CoinRobot: Generalized End-to-end Robotic Learning for Physical Intelligence—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