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 2951–2975 of 3687 papers

TitleStatusHype
RotoGrad: Gradient Homogenization in Multi-Task Learning—0
When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges—0
Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning—0
Unsupervised Domain Adaptation of Language Models for Reading Comprehension—0
A Manifold Regularized Multi-Task Learning Model for IQ Prediction from Multiple fMRI Paradigms—0
RSINet: Rotation-Scale Invariant Network for Online Visual Tracking—0
Z-Magic: Zero-shot Multiple Attributes Guided Image Creator—0
Rubik's Optical Neural Networks: Multi-task Learning with Physics-aware Rotation Architecture—0
Rugby-Bot: Utilizing Multi-Task Learning & Fine-Grained Features for Rugby League Analysis—0
Rumor Detection by Exploiting User Credibility Information, Attention and Multi-task Learning—0
Deep Safe Multi-Task Learning—0
Unsupervised Meta-Learning for Reinforcement Learning—0
Safe Screening Rules for Group OWL Models—0
A Manifold-based Airfoil Geometric-feature Extraction and Discrepant Data Fusion Learning Method—0
All-in-one: Multi-task Learning for Rumour Verification—0
ALL-IN-ONE: Multi-Task Learning BERT models for Evaluating Peer Assessments—0
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding—0
Same Representation, Different Attentions: Shareable Sentence Representation Learning from Multiple Tasks—0
Robust Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models—0
Unsupervised Out-of-Distribution Dialect Detection with Mahalanobis Distance—0
xMTF: A Formula-Free Model for Reinforcement-Learning-Based Multi-Task Fusion in Recommender Systems—0
SAQAM: Spatial Audio Quality Assessment Metric—0
SATformer: Transformer-Based UNSAT Core Learning—0
Scalable Attribution of Adversarial Attacks via Multi-Task Learning—0
All in One: A Multi-Task Learning for Emoji, Sentiment and Emotion Analysis in Code-Mixed Text—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