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 751–775 of 3687 papers

Title	Date	Tasks	Status	Score
Improving Social Meaning Detection with Pragmatic Masking and Surrogate Fine-Tuning	Aug 1, 2021	DenoisingFew-Shot Learning	CodeCode Available	5
A Deep Convolutional Neural Networks Based Multi-Task Ensemble Model for Aspect and Polarity Classification in Persian Reviews	Jan 17, 2022	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	5
Improving Robustness of Neural Machine Translation with Multi-task Learning	Aug 1, 2019	Machine TranslationMulti-Task Learning	CodeCode Available	5
Attentive Task Interaction Network for Multi-Task Learning	Jan 25, 2022	DecoderKnowledge Distillation	CodeCode Available	5
Improving Relation Extraction by Leveraging Knowledge Graph Link Prediction	Dec 9, 2020	Link PredictionMulti-Task Learning	CodeCode Available	5
DCID: Deep Canonical Information Decomposition	Jun 27, 2023	Information RetrievalMulti-Task Learning	CodeCode Available	5
AudioLog: LLMs-Powered Long Audio Logging with Hybrid Token-Semantic Contrastive Learning	Nov 21, 2023	Acoustic Scene ClassificationAudio captioning	CodeCode Available	5
DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning	Jan 20, 2020	Image Quality AssessmentMulti-Task Learning	CodeCode Available	5
Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data	Mar 1, 2019	DenoisingGrammatical Error Correction	CodeCode Available	5
Improving Neural Story Generation by Targeted Common Sense Grounding	Aug 26, 2019	Common Sense ReasoningMulti-Task Learning	CodeCode Available	5
Incomplete Utterance Rewriting with Editing Operation Guidance and Utterance Augmentation	Mar 20, 2025	Multi-Task Learning	CodeCode Available	5
DBTagger: Multi-Task Learning for Keyword Mapping in NLIDBs Using Bi-Directional Recurrent Neural Networks	Jan 11, 2021	LemmatizationMulti-Task Learning	CodeCode Available	5
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning	Nov 27, 2019	Multi-Task LearningSemantic Segmentation	CodeCode Available	5
Killing Four Birds with Two Stones: Multi-Task Learning for Non-Literal Language Detection	Aug 1, 2018	General ClassificationMulti-Task Learning	CodeCode Available	5
ALUE: Arabic Language Understanding Evaluation	Apr 1, 2021	DiagnosticFairness	CodeCode Available	5
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural Networks	Apr 12, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available	5
Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal Bavarian Case Study	Jan 7, 2025	intent-classificationIntent Classification	CodeCode Available	5
A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling	Nov 12, 2019	Chinese Semantic Role LabelingMulti-Task Learning	CodeCode Available	5
Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural Networks	Oct 9, 2022	DecoderImage Segmentation	CodeCode Available	5
Data Fusion for Multi-Task Learning of Building Extraction and Height Estimation	Aug 5, 2023	Multi-Task Learning	CodeCode Available	5
Asynchronous Multi-Task Learning	Sep 30, 2016	Multi-Task LearningTransfer Learning	CodeCode Available	5
Large-Scale End-to-End Multilingual Speech Recognition and Language Identification with Multi-Task Learning	Oct 25, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Data exploitation: multi-task learning of object detection and semantic segmentation on partially annotated data	Nov 7, 2023	Knowledge DistillationMulti-Task Learning	CodeCode Available	5
Image Splicing Localization Using A Multi-Task Fully Convolutional Network (MFCN)	Sep 6, 2017	Multi-Task Learning	CodeCode Available	5
Imbalanced multi-label classification using multi-task learning with extractive summarization	Mar 16, 2019	ClassificationExtractive Summarization	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