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 1251–1275 of 3687 papers

Title	Date	Tasks	Status	Score
Enhancing Criminal Case Matching through Diverse Legal Factors	Jun 17, 2024	Multi-Task Learning	CodeCode Available	5
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks	Nov 5, 2016	ChunkingMulti-Task Learning	CodeCode Available	5
Cascading Hierarchical Networks with Multi-task Balanced Loss for Fine-grained hashing	Mar 20, 2023	Data AugmentationFine-Grained Image Classification	CodeCode Available	5
H2H: Heterogeneous Model to Heterogeneous System Mapping with Computation and Communication Awareness	Apr 29, 2022	Multi-Task Learning	CodeCode Available	5
HalluciNet-ing Spatiotemporal Representations Using a 2D-CNN	Dec 10, 2019	Action AnticipationAction Classification	CodeCode Available	5
Happy Are Those Who Grade without Seeing: A Multi-Task Learning Approach to Grade Essays Using Gaze Behaviour	May 25, 2020	Multi-Task LearningNamed Entity Recognition (NER)	CodeCode Available	5
Group Buying Recommendation Model Based on Multi-task Learning	Nov 25, 2022	Multi-Task LearningRepresentation Learning	CodeCode Available	5
Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning	Sep 25, 2021	Multi-Task Learning	CodeCode Available	5
Graph Star Net for Generalized Multi-Task Learning	Jun 21, 2019	ClassificationGeneral Classification	CodeCode Available	5
Graph Neural Networks for Surfactant Multi-Property Prediction	Jan 3, 2024	Ensemble LearningMulti-Task Learning	CodeCode Available	5
Continual and Multi-Task Architecture Search	Jun 12, 2019	Continual LearningGeneral Classification	CodeCode Available	5
Model-Protected Multi-Task Learning	Sep 18, 2018	modelMulti-Task Learning	CodeCode Available	5
Learning Interpretable Microscopic Features of Tumor by Multi-task Adversarial CNNs To Improve Generalization	Aug 4, 2020	DiagnosticMulti-Task Learning	CodeCode Available	5
Graph-based Knowledge Distillation by Multi-head Attention Network	Jul 4, 2019	Inductive BiasKnowledge Distillation	CodeCode Available	5
Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders	Nov 14, 2023	Language ModellingMulti-Task Learning	CodeCode Available	5
MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task Learning	May 28, 2025	Multi-Task Learningparameter-efficient fine-tuning	CodeCode Available	5
GYM at Qur’an QA 2023 Shared Task: Multi-Task Transfer Learning for Quranic Passage Retrieval and Question Answering with Large Language Models	Dec 7, 2023	Multi-Task LearningPassage Retrieval	CodeCode Available	5
Generalizing Natural Language Analysis through Span-relation Representations	Nov 10, 2019	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	5
HeroNet: A Hybrid Retrieval-Generation Network for Conversational Bots	Jan 29, 2023	Multi-Task LearningQuestion Answering	CodeCode Available	5
An Efficient End-to-End Approach to Noise Invariant Speech Features via Multi-Task Learning	Mar 13, 2024	DenoisingKnowledge Distillation	CodeCode Available	5
End-to-end Multi-Modal Multi-Task Vehicle Control for Self-Driving Cars with Visual Perception	Jan 20, 2018	Autonomous DrivingMulti-Task Learning	CodeCode Available	5
Can Demographic Factors Improve Text Classification? Revisiting Demographic Adaptation in the Age of Transformers	Oct 13, 2022	Language ModelingLanguage Modelling	CodeCode Available	5
End-to-end Multimodal Emotion and Gender Recognition with Dynamic Joint Loss Weights	Sep 4, 2018	Multi-Task Learning	CodeCode Available	5
MTCAE-DFER: Multi-Task Cascaded Autoencoder for Dynamic Facial Expression Recognition	Dec 25, 2024	Dynamic Facial Expression RecognitionFace Detection	CodeCode Available	5
Glyce: Glyph-vectors for Chinese Character Representations	Jan 29, 2019	Chinese Dependency ParsingChinese Named Entity Recognition	CodeCode Available	5

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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