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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 1101–1125 of 3687 papers

TitleStatusHype
Multi-Task Learning Using Uncertainty to Weigh Losses for Heterogeneous Face Attribute Estimation—0
Speaker-Independent Dysarthria Severity Classification using Self-Supervised Transformers and Multi-Task Learning—0
Location-guided Head Pose Estimation for Fisheye Image—0
A Vanilla Multi-Task Framework for Dense Visual Prediction Solution to 1st VCL Challenge -- Multi-Task Robustness Track—0
The Foundational Capabilities of Large Language Models in Predicting Postoperative Risks Using Clinical NotesCode0
Federated Learning for Estimating Heterogeneous Treatment Effects—0
Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings—0
Neural population geometry and optimal coding of tasks with shared latent structure—0
InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning—0
Towards Principled Task Grouping for Multi-Task Learning—0
Unified View of Grokking, Double Descent and Emergent Abilities: A Perspective from Circuits Competition—0
Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond—0
Filter-based multi-task cross-corpus feature learning for speech emotion recognitionCode0
Federated Multi-Task Learning on Non-IID Data Silos: An Experimental StudyCode0
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation—0
Multitask Kernel-based Learning with Logic Constraints—0
Collaborative Learning with Different Labeling Functions—0
Learning-based Bone Quality Classification Method for Spinal Metastasis—0
PMGDA: A Preference-based Multiple Gradient Descent AlgorithmCode0
Text Detoxification as Style Transfer in English and HindiCode0
SpeechCLIP+: Self-supervised multi-task representation learning for speech via CLIP and speech-image dataCode0
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain—0
Adaptive multi-gradient methods for quasiconvex vector optimization and applications to multi-task learning—0
An Interactive Agent Foundation Model—0
Deep Nonlinear Hyperspectral Unmixing Using 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