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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

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Showing 1051–1100 of 3687 papers

TitleStatusHype
Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing—0
Addressing Limitations of State-Aware Imitation Learning for Autonomous Driving—0
From Task-Specific Models to Unified Systems: A Review of Model Merging Approaches—0
Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection—0
Gated Mechanism Enhanced Multi-Task Learning for Dialog Routing—0
General Embedding vs. Task-Specific Embedding: A Comparative Approach to Enhancing NLP Performance—0
Attending Generalizability in Course of Deep Fake Detection by Exploring Multi-task Learning—0
Decorrelating Semantic Visual Attributes by Resisting the Urge to Share—0
Ad Creative Discontinuation Prediction with Multi-Modal Multi-Task Neural Survival Networks—0
Deconstructing Supertagging into Multi-Task Sequence Prediction—0
Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns—0
A Trigger-Aware Multi-Task Learning for Chinese Event Entity Recognition—0
FPAN: Fine-grained and Progressive Attention Localization Network for Data Retrieval—0
Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach—0
Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data—0
3D Hand Pose and Shape Estimation from RGB Images for Keypoint-Based Hand Gesture Recognition—0
Decentralized Multi-Task Learning Based on Extreme Learning Machines—0
Decentralized Collaborative Learning with Probabilistic Data Protection—0
When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges—0
For the Misgendered Chinese in Gender Bias Research: Multi-Task Learning with Knowledge Distillation for Pinyin Name-Gender Prediction—0
Framework for Multi-task Multiple Kernel Learning and Applications in Genome Analysis—0
Decentralized Collaborative Learning Framework with External Privacy Leakage Analysis—0
Dealing with negative samples with multi-task learning on span-based joint entity-relation extraction—0
A Transformer-based Threshold-Free Framework for Multi-Intent NLU—0
DCT-Centered Temporal Relation Extraction—0
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