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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 1076–1100 of 3687 papers

TitleStatusHype
DCRNN: A Deep Cross approach based on RNN for Partial Parameter Sharing in Multi-task Learning—0
A Transformer-based Threshold-Free Framework for Multi-Intent NLU—0
A Manifold Regularized Multi-Task Learning Model for IQ Prediction from Multiple fMRI Paradigms—0
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation—0
A Transformer-Based Multi-Stream Approach for Isolated Iranian Sign Language Recognition—0
A Transformer-Based Deep Learning Approach for Fairly Predicting Post-Liver Transplant Risk Factors—0
DCCRN-KWS: an audio bias based model for noise robust small-footprint keyword spotting—0
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation—0
A Manifold-based Airfoil Geometric-feature Extraction and Discrepant Data Fusion Learning Method—0
Frequency-based Multi Task learning With Attention Mechanism for Fault Detection In Power Systems—0
ATM: Improving Model Merging by Alternating Tuning and Merging—0
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning—0
Data Sharing without Rewards in Multi-Task Offline Reinforcement Learning—0
Dataset Distribution Impacts Model Fairness: Single vs. Multi-Task Learning—0
A Theoretical Perspective on Differentially Private Federated Multi-task Learning—0
FoodLMM: A Versatile Food Assistant using Large Multi-modal Model—0
Data Poisoning Attacks on Federated Machine Learning—0
Gaining Extra Supervision via Multi-task learning for Multi-Modal Video Question Answering—0
Data Fusion of Deep Learned Molecular Embeddings for Property Prediction—0
FloorLevel-Net: Recognizing Floor-Level Lines with Height-Attention-Guided Multi-task Learning—0
Forecasting battery capacity and power degradation with multi-task learning—0
Asynchronous Convergence in Multi-Task Learning via Knowledge Distillation from Converged Tasks—0
Data Enrichment: Multi-task Learning in High Dimension with Theoretical Guarantees—0
All-in-one: Multi-task Learning for Rumour Verification—0
Data-Efficiency with a Single GPU: An Exploration of Transfer Methods for Small Language Models—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