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 3161–3170 of 3687 papers

Title	Date	Tasks	Status	Hype
Exploring Correlations in Multiple Facial Attributes through Graph Attention Network	Oct 22, 2018	AttributeGraph Attention	CodeCode Available	0
Optical Font Recognition in Smartphone-Captured Images, and its Applicability for ID Forgery Detection	Oct 18, 2018	Font RecognitionMulti-Task Learning	—Unverified	0
Towards a One-stop Solution to Both Aspect Extraction and Sentiment Analysis Tasks with Neural Multi-task Learning	Oct 14, 2018	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified	0
Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks	Oct 13, 2018	ClassificationGeneral Classification	—Unverified	0
Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes	Oct 11, 2018	DenoisingEvent Detection	—Unverified	0
Global Inference for Aspect and Opinion Terms Co-Extraction Based on Multi-Task Neural Networks	Oct 10, 2018	Aspect Term Extraction and Sentiment ClassificationMulti-Task Learning	—Unverified	0
Multi-Task Learning as Multi-Objective Optimization	Oct 10, 2018	Depth EstimationGeneral Classification	CodeCode Available	2
Multi-Task Learning for Domain-General Spoken Disfluency Detection in Dialogue Systems	Oct 8, 2018	Multi-Task Learning	—Unverified	0
Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection	Oct 5, 2018	ClassificationGeneral Classification	CodeCode Available	0
Sentiment Expression Boundaries in Sentiment Polarity Classification	Oct 1, 2018	Aspect-Based Sentiment Analysis (ABSA)Classification	—Unverified	0

Show:10 25 50

← PrevPage 317 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