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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

Showing 15261550 of 3687 papers

TitleStatusHype
Device Tuning for Multi-Task Large Model0
A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels0
Development of a Multi-Task Learning V-Net for Pulmonary Lobar Segmentation on Computed Tomography and Application to Diseased Lungs0
Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning0
Developing a High-performance Framework for Speech Emotion Recognition in Naturalistic Conditions Challenge for Emotional Attribute Prediction0
Automatic quality assessment for 2D fetal sonographic standard plane based on multi-task learning0
A Multi-Task Learning Framework for Overcoming the Catastrophic Forgetting in Automatic Speech Recognition0
Advances and Challenges in Meta-Learning: A Technical Review0
A Comprehensive Evaluation of Large Language Models on Aspect-Based Sentiment Analysis0
Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning0
Automatic Plane Adjustment of Orthopedic Intra-operative Flat Panel Detector CT-Volumes0
Automatic Noun Compound Interpretation using Deep Neural Networks and Word Embeddings0
A multi-task learning-based optimization approach for finding diverse sets of material microstructures with desired properties and its application to texture optimization0
Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.00
Detecting Concealed Information in Text and Speech0
Detecting Shortcut Learning for Fair Medical AI using Shortcut Testing0
Automatic Expert Selection for Multi-Scenario and Multi-Task Search0
A Multi-task Learning Balanced Attention Convolutional Neural Network Model for Few-shot Underwater Acoustic Target Recognition0
Generalizing Hate Speech Detection Using Multi-Task Learning: A Case Study of Political Public Figures0
Automatic CAD-RADS Scoring Using Deep Learning0
Design Perspectives of Multitask Deep Learning Models and Applications0
Automatically Scoring Freshman Writing: A Preliminary Investigation0
Design of Real-time Semantic Segmentation Decoder for Automated Driving0
Derivative Free Weight-space Ensembling0
Depth Is All You Need for Monocular 3D Detection0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PCGrad∆m%125.7Unverified
2CAGrad∆m%112.8Unverified
3IMTL-G∆m%77.2Unverified
4Nash-MTL∆m%62Unverified
5BayesAgg-MTL∆m%53.7Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLmIoU76.41Unverified
2Nash-MTLmIoU75.41Unverified
3MultiObjectiveOptimizationmIoU66.63Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLMean IoU58.14Unverified
2Nash-MTLMean IoU40.13Unverified
#ModelMetricClaimedVerifiedStatus
1Gumbel-Matrix RoutingAverage Accuracy93.52Unverified
2Mixture-of-ExpertsAverage Accuracy92.19Unverified
#ModelMetricClaimedVerifiedStatus
1MGDA-UBError8.25Unverified
#ModelMetricClaimedVerifiedStatus
1BayesAgg-MTLdelta_m-2.23Unverified
#ModelMetricClaimedVerifiedStatus
1LETRFH83.3Unverified