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 2601–2625 of 3687 papers

TitleStatusHype
On Generating Identifiable Virtual Faces—0
Uncertainty-Aware Explainable Recommendation with Large Language Models—0
Online Domain Adaptation for Multi-Object Tracking—0
Online Learning of Multiple Tasks and Their Relationships : Testing on Spam Email Data and EEG Signals Recorded in Construction Fields—0
Online Multi-Task Learning with Recursive Least Squares and Recursive Kernel Methods—0
Uncertainty Regularized Multi-Task Learning—0
Uncovering the Corona Virus Map Using Deep Entities and Relationship Models—0
AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts—0
An Enhanced-State Reinforcement Learning Algorithm for Multi-Task Fusion in Large-Scale Recommender Systems—0
An End-To-End Stuttering Detection Method Based On Conformer And BILSTM—0
On Sparsity Inducing Regularization Methods for Machine Learning—0
On Steering Multi-Annotations per Sample for Multi-Task Learning—0
Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning—0
MGDA Converges under Generalized Smoothness, Provably—0
An End-to-End Multi-task Learning Model for Fact Checking—0
On the Energy and Communication Efficiency Tradeoffs in Federated and Multi-Task Learning—0
Understanding and Improving Information Transfer in Multi-Task Learning—0
On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition—0
On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition—0
Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder—0
On the relationship between disentanglement and multi-task learning—0
On the Statistical Efficiency of _1,p Multi-Task Learning of Gaussian Graphical Models—0
On the Transferability of Representations in Neural Networks Between Datasets and Tasks—0
On the use of linguistic similarities to improve Neural Machine Translation for African Languages—0
An End-to-end Entangled Segmentation and Classification Convolutional Neural Network for Periodontitis Stage Grading from Periapical Radiographic Images—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