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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 1501–1550 of 3687 papers

TitleStatusHype
AuxNet: Auxiliary tasks enhanced Semantic Segmentation for Automated Driving—0
A Multi-Task Learning Framework for COVID-19 Monitoring and Prediction of PPE Demand in Community Health Centres—0
DiGrad: Multi-Task Reinforcement Learning with Shared Actions—0
A region and category confidence-based multi-task network for carotid ultrasound image segmentation and classification—0
Advancing Seq2seq with Joint Paraphrase Learning—0
Advancing Robust Underwater Acoustic Target Recognition through Multi-task Learning and Multi-Gate Mixture-of-Experts—0
Differentially Private Transferrable Deep Learning with Membership-Mappings—0
Differentiable Mask for Pruning Convolutional and Recurrent Networks—0
Auxiliary Learning for Named Entity Recognition with Multiple Auxiliary Biomedical Training Data—0
Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection—0
DiaNet: BERT and Hierarchical Attention Multi-Task Learning of Fine-Grained Dialect—0
Auxiliary Learning by Implicit Differentiation—0
A Multi-task Learning Framework for Evaluating Machine Translation of Emotion-loaded User-generated Content—0
DialogAct2Vec: Towards End-to-End Dialogue Agent by Multi-Task Representation Learning—0
DiagrammaticLearning: A Graphical Language for Compositional Training Regimes—0
AutoTaskFormer: Searching Vision Transformers for Multi-task Learning—0
Diabetic retinopathy image classification method based on GreenBen data augmentation—0
DG-STMTL: A Novel Graph Convolutional Network for Multi-Task Spatio-Temporal Traffic Forecasting—0
AutoSTL: Automated Spatio-Temporal Multi-Task Learning—0
A Multi-Task Learning Framework for Extracting Bacteria Biotope Information—0
Advances and Challenges of Multi-task Learning Method in Recommender System: A Survey—0
DGRC: An Effective Fine-tuning Framework for Distractor Generation in Chinese Multi-choice Reading Comprehension—0
DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding—0
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning—0
DFGET: Displacement-Field Assisted Graph Energy Transmitter for Gland Instance Segmentation—0
Device Tuning for Multi-Task Large Model—0
A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels—0
Development of a Multi-Task Learning V-Net for Pulmonary Lobar Segmentation on Computed Tomography and Application to Diseased Lungs—0
Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning—0
Developing a High-performance Framework for Speech Emotion Recognition in Naturalistic Conditions Challenge for Emotional Attribute Prediction—0
Automatic quality assessment for 2D fetal sonographic standard plane based on multi-task learning—0
A Multi-Task Learning Framework for Overcoming the Catastrophic Forgetting in Automatic Speech Recognition—0
Advances and Challenges in Meta-Learning: A Technical Review—0
A Comprehensive Evaluation of Large Language Models on Aspect-Based Sentiment Analysis—0
Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning—0
Automatic Plane Adjustment of Orthopedic Intra-operative Flat Panel Detector CT-Volumes—0
Automatic Noun Compound Interpretation using Deep Neural Networks and Word Embeddings—0
A multi-task learning-based optimization approach for finding diverse sets of material microstructures with desired properties and its application to texture optimization—0
Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0—0
Detecting Concealed Information in Text and Speech—0
Detecting Shortcut Learning for Fair Medical AI using Shortcut Testing—0
Automatic Expert Selection for Multi-Scenario and Multi-Task Search—0
A Multi-task Learning Balanced Attention Convolutional Neural Network Model for Few-shot Underwater Acoustic Target Recognition—0
Generalizing Hate Speech Detection Using Multi-Task Learning: A Case Study of Political Public Figures—0
Automatic CAD-RADS Scoring Using Deep Learning—0
Design Perspectives of Multitask Deep Learning Models and Applications—0
Automatically Scoring Freshman Writing: A Preliminary Investigation—0
Design of Real-time Semantic Segmentation Decoder for Automated Driving—0
Derivative Free Weight-space Ensembling—0
Depth Is All You Need for Monocular 3D Detection—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