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

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Showing 676–700 of 3687 papers

TitleStatusHype
UniRQR: A Unified Model for Retrieval Decision, Query, and Response Generation in Internet-Based Knowledge Dialogue Systems—0
MISS: A Generative Pretraining and Finetuning Approach for Med-VQACode1
BS-PLCNet: Band-split Packet Loss Concealment Network with Multi-task Learning Framework and Multi-discriminators—0
CoT-Driven Framework for Short Text Classification: Enhancing and Transferring Capabilities from Large to Smaller Model—0
Graph Neural Networks for Surfactant Multi-Property PredictionCode0
Will 6G be Semantic Communications? Opportunities and Challenges from Task Oriented and Secure Communications to Integrated Sensing—0
Distribution Matching for Multi-Task Learning of Classification Tasks: a Large-Scale Study on Faces & Beyond—0
FedHCA2: Towards Hetero-Client Federated Multi-Task LearningCode1
MTLoRA: Low-Rank Adaptation Approach for Efficient Multi-Task LearningCode2
Efficient Multi-domain Text Recognition Deep Neural Network Parameterization with Residual AdaptersCode0
A Multi-Task, Multi-Modal Approach for Predicting Categorical and Dimensional Emotions—0
RainSD: Rain Style Diversification Module for Image Synthesis Enhancement using Feature-Level Style Distribution—0
Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space—0
OmniDialog: An Omnipotent Pre-training Model for Task-Oriented Dialogue System—0
Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation—0
Towards Invariant Soft Biometrics from Electrocardiograms—0
Solving Label Variation in Scientific Information Extraction via Multi-Task LearningCode0
FoodLMM: A Versatile Food Assistant using Large Multi-modal Model—0
Machine learning for structure-guided materials and process designCode0
BridgeNet: Comprehensive and Effective Feature Interactions via Bridge Feature for Multi-task Dense Predictions—0
Multi-task Learning To Improve Semantic Segmentation Of CBCT Scans Using Image Reconstruction—0
DSAF: A Dual-Stage Adaptive Framework for Numerical Weather Prediction DownscalingCode0
PETDet: Proposal Enhancement for Two-Stage Fine-Grained Object DetectionCode1
LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style PluginCode2
MmAP : Multi-modal Alignment Prompt for Cross-domain 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