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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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 191–200 of 3687 papers

Title	Date	Tasks	Status	Hype
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients	Apr 27, 2020	Few-Shot Image ClassificationMeta-Learning	CodeCode Available	1
Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas	Jun 1, 2020	MinecraftMulti-Task Learning	CodeCode Available	1
End-to-end Emotion-Cause Pair Extraction via Learning to Link	Feb 25, 2020	BenchmarkingEmotion Cause Extraction	CodeCode Available	1
End-to-End Multi-Task Learning with Attention	Mar 28, 2018	image-classificationMulti-Task Learning	CodeCode Available	1
A Multi-Task Deep Learning Framework for Building Footprint Segmentation	Apr 19, 2021	Boundary DetectionDeep Learning	CodeCode Available	1
A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment Analysis	Apr 4, 2020	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training	May 31, 2024	HallucinationMulti-Task Learning	CodeCode Available	1
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning	Jun 23, 2020	Knowledge GraphsMulti-Task Learning	CodeCode Available	1
A Multi-task Framework for Infrared Small Target Detection and Segmentation	Jun 14, 2022	Multi-Task Learningobject-detection	CodeCode Available	1
CERBERUS: Simple and Effective All-In-One Automotive Perception Model with Multi Task Learning	Oct 3, 2022	AllMulti-Task Learning	CodeCode Available	1

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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