SOTAVerified|Agents Browse Leaderboard About Blog

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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 2201–2210 of 3687 papers

Title	Date	Tasks	Status	Hype
Trigger Word Detection and Thematic Role Identification via BERT and Multitask Learning	Nov 1, 2019	Drug DiscoveryMulti-Task Learning	—Unverified	0
MetricUNet: Synergistic Image- and Voxel-Level Learning for Precise CT Prostate Segmentation via Online Sampling	May 15, 2020	Metric LearningMulti-Task Learning	—Unverified	0
TuneNSearch: a hybrid transfer learning and local search approach for solving vehicle routing problems	Mar 16, 2025	Graph AttentionMulti-Task Learning	—Unverified	0
TUPA at MRP 2019: A Multi-Task Baseline System	Nov 1, 2019	Multi-Task LearningUCCA Parsing	—Unverified	0
TUTORING: Instruction-Grounded Conversational Agent for Language Learners	Feb 24, 2023	ChatbotMulti-Task Learning	—Unverified	0
Twitter Demographic Classification Using Deep Multi-modal Multi-task Learning	Jul 1, 2017	ClassificationGeneral Classification	—Unverified	0
Two-Aspect Information Fusion Model For ABAW4 Multi-task Challenge	Jul 23, 2022	Multi-Task LearningVocal Bursts Valence Prediction	—Unverified	0
Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling	Dec 18, 2018	Multi-Task LearningPrediction	—Unverified	0
Two-block vs. Multi-block ADMM: An empirical evaluation of convergence	Jul 10, 2019	Multi-Task LearningVocal Bursts Valence Prediction	—Unverified	0
Two-level Attention with Two-stage Multi-task Learning for Facial Emotion Recognition	Nov 29, 2018	Emotion RecognitionFacial Emotion Recognition	—Unverified	0

Show:10 25 50

← PrevPage 221 of 369Next →

All datasets QM9 Cityscapes test NYUv2 OMNIGLOT CelebA UTKFace wireframe dataset

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	PCGrad	∆m%	125.7	—	Unverified
2	CAGrad	∆m%	112.8	—	Unverified
3	IMTL-G	∆m%	77.2	—	Unverified
4	Nash-MTL	∆m%	62	—	Unverified
5	BayesAgg-MTL	∆m%	53.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SwinMTL	mIoU	76.41	—	Unverified
2	Nash-MTL	mIoU	75.41	—	Unverified
3	MultiObjectiveOptimization	mIoU	66.63	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SwinMTL	Mean IoU	58.14	—	Unverified
2	Nash-MTL	Mean IoU	40.13	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Gumbel-Matrix Routing	Average Accuracy	93.52	—	Unverified
2	Mixture-of-Experts	Average Accuracy	92.19	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MGDA-UB	Error	8.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BayesAgg-MTL	delta_m	-2.23	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LETR	FH	83.3	—	Unverified