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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 1351–1375 of 3687 papers

TitleStatusHype
ACQ: A Unified Framework for Automated Programmatic Creativity in Online Advertising—0
Efficient and Scalable Multi-task Regression on Massive Number of Tasks—0
Efficient and robust multi-task learning in the brain with modular latent primitives—0
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging—0
Efficient Action Detection in Untrimmed Videos via Multi-Task Learning—0
Body Segmentation Using Multi-task Learning—0
Analytical Uncertainty-Based Loss Weighting in Multi-Task Learning—0
Effects of Word-frequency based Pre- and Post- Processings for Audio Captioning—0
Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving—0
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting—0
Adversarial multi-task learning to solve holistic semantic polishing problem of Chinese text—0
EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification—0
EEGEncoder: Advancing BCI with Transformer-Based Motor Imagery Classification—0
Biomedical Event Extraction as Sequence Labeling—0
Edinburgh’s End-to-End Multilingual Speech Translation System for IWSLT 2021—0
EdgeStereo: An Effective Multi-Task Learning Network for Stereo Matching and Edge Detection—0
BioInstruct: Instruction Tuning of Large Language Models for Biomedical Natural Language Processing—0
ECRC: Emotion-Causality Recognition in Korean Conversation for GCN—0
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations—0
ECNU: Using Traditional Similarity Measurements and Word Embedding for Semantic Textual Similarity Estimation—0
EarthGPT-X: Enabling MLLMs to Flexibly and Comprehensively Understand Multi-Source Remote Sensing Imagery—0
Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition—0
An Adversarial Multi-Task Learning Method for Chinese Text Correction with Semantic Detection—0
Adversarial Multi-task Learning for Text Classification—0
Acoustic-to-articulatory Speech Inversion with Multi-task Learning—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