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 3651–3687 of 3687 papers

TitleStatusHype
Parametric Task Learning—0
Gibbs Max-margin Topic Models with Data Augmentation—0
Multi-Domain Adaptation for SMT Using Multi-Task Learning—0
High-dimensional Joint Sparsity Random Effects Model for Multi-task Learning—0
Flexible Low-Rank Statistical Modeling with Side Information—0
Multi-Task Learning for Improved Discriminative Training in SMT—0
A user-centric model of voting intention from Social Media—0
Fast and Robust Compressive Summarization with Dual Decomposition and Multi-Task Learning—0
Modelling Annotator Bias with Multi-task Gaussian Processes: An Application to Machine Translation Quality Estimation—0
Leveraging Synthetic Discourse Data via Multi-task Learning for Implicit Discourse Relation Recognition—0
Stability of Multi-Task Kernel Regression Algorithms—0
On Sparsity Inducing Regularization Methods for Machine Learning—0
Multilingual Joint Parsing of Syntactic and Semantic Dependencies with a Latent Variable Model—0
High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction—0
Learning curves for multi-task Gaussian process regression—0
Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL—0
Repulsive Mixtures—0
Multi-Task Averaging—0
Multi-task Vector Field Learning—0
Multi-Target Regression via Input Space Expansion: Treating Targets as Inputs—0
Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs—0
On the Statistical Efficiency of _1,p Multi-Task Learning of Gaussian Graphical Models—0
Learning Task Grouping and Overlap in Multi-task Learning—0
A Convex Formulation for Learning Task Relationships in Multi-Task Learning—0
Infinite Shift-invariant Grouped Multi-task Learning for Gaussian Processes—0
Sparse Bayesian Multi-Task Learning—0
Clustered Multi-Task Learning Via Alternating Structure Optimization—0
Infinite Latent SVM for Classification and Multi-task Learning—0
Large-Scale Music Annotation and Retrieval: Learning to Rank in Joint Semantic Spaces—0
Probabilistic Multi-Task Feature Selection—0
Adaptive Multi-Task Lasso: with Application to eQTL Detection—0
A Dirty Model for Multi-task Learning—0
Large Margin Multi-Task Metric Learning—0
Asymptotically Optimal Regularization in Smooth Parametric Models—0
Clustered Multi-Task Learning: A Convex Formulation—0
Multi-task Gaussian Process Learning of Robot Inverse Dynamics—0
Multi-Task Learning via Conic Programming—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