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 626–650 of 3687 papers

Title	Date	Tasks	Status	Score
Joint Training on Multiple Datasets With Inconsistent Labeling Criteria for Facial Expression Recognition	Apr 2, 2024	Facial Expression RecognitionFacial Expression Recognition (FER)	CodeCode Available	5
JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction	Nov 7, 2023	AttributeAttribute Value Extraction	CodeCode Available	5
KGP at SemEval-2021 Task 8: Leveraging Multi-Staged Language Models for Extracting Measurements, their Attributes and Relations	Aug 1, 2021	Multi-Task LearningRelation Extraction	CodeCode Available	5
BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning	Feb 7, 2019	Multi-Task LearningNatural Language Inference	CodeCode Available	5
Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology	Mar 6, 2024	Decision MakingMulti-Task Learning	CodeCode Available	5
Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation	Sep 9, 2019	Multi-Task LearningSaliency Detection	CodeCode Available	5
Restoring Images with Unknown Degradation Factors by Recurrent Use of a Multi-branch Network	Jul 10, 2019	DeblurringImage Restoration	CodeCode Available	5
Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat	Sep 10, 2018	Multi-Task LearningReinforcement Learning	CodeCode Available	5
Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning	Sep 4, 2022	Contrastive LearningDecision Making	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
BCH-NLP at BioCreative VII Track 3: medications detection in tweets using transformer networks and multi-task learning	Nov 26, 2021	AllData Augmentation	CodeCode Available	5
Joint CTC-Attention based End-to-End Speech Recognition using Multi-task Learning	Sep 21, 2016	DecoderMulti-Task Learning	CodeCode Available	5
Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data	Mar 14, 2018	Multi-Task LearningTransfer Learning	CodeCode Available	5
Joint Alignment of Multi-Task Feature and Label Spaces for Emotion Cause Pair Extraction	Sep 9, 2022	Emotion-Cause Pair ExtractionMulti-Task Learning	CodeCode Available	5
Joint Iris Segmentation and Localization Using Deep Multi-task Learning Framework	Jan 31, 2019	DecoderIris Segmentation	CodeCode Available	5
Bayesian Neural Networks With Maximum Mean Discrepancy Regularization	Mar 2, 2020	image-classificationImage Classification	CodeCode Available	5
Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models	Jul 31, 2024	Instruction FollowingMulti-Task Learning	CodeCode Available	5
Joint Acne Image Grading and Counting via Label Distribution Learning	Oct 1, 2019	Acne Severity GradingMedical Image Classification	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
Knowing Earlier what Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-Task Learning	Jul 6, 2022	DiagnosticMulti-Task Learning	CodeCode Available	5
Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text?	Oct 1, 2018	Multi-Task Learningnamed-entity-recognition	CodeCode Available	5
Let-Mi: An Arabic Levantine Twitter Dataset for Misogynistic Language	Mar 18, 2021	Multi-Task Learning	CodeCode Available	5
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes	Apr 10, 2017	Bayesian Inferencecounterfactual	CodeCode Available	5
Interpetable Target-Feature Aggregation for Multi-Task Learning based on Bias-Variance Analysis	Jun 12, 2024	ClusteringDimensionality Reduction	CodeCode Available	5
Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task Learning	Oct 16, 2023	Multi-Task LearningTransfer Learning	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