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 326–350 of 3687 papers

Title	Date	Tasks	Status	Hype
Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding	Jan 28, 2022	Graph AttentionKnowledge Distillation	CodeCode Available	1
MT-GBM: A Multi-Task Gradient Boosting Machine with Shared Decision Trees	Jan 17, 2022	Multi-Task Learning	CodeCode Available	1
Flexible Style Image Super-Resolution using Conditional Objective	Jan 13, 2022	Image Super-ResolutionMulti-Task Learning	CodeCode Available	1
Multi-task Joint Strategies of Self-supervised Representation Learning on Biomedical Networks for Drug Discovery	Jan 12, 2022	Drug DiscoveryGraph Attention	CodeCode Available	1
In Defense of the Unitary Scalarization for Deep Multi-Task Learning	Jan 11, 2022	Multi-Task LearningReinforcement Learning (RL)	CodeCode Available	1
Learning Free Gait Transition for Quadruped Robots via Phase-Guided Controller	Jan 1, 2022	Multi-Task Learning	CodeCode Available	1
Does Text Attract Attention on E-Commerce Images: A Novel Saliency Prediction Dataset and Method	Jan 1, 2022	Multi-Task LearningSaliency Prediction	CodeCode Available	1
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments	Dec 31, 2021	Continual LearningDeep Learning	CodeCode Available	1
Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints	Dec 31, 2021	3D Lane DetectionAutonomous Vehicles	CodeCode Available	1
SLIP: Self-supervision meets Language-Image Pre-training	Dec 23, 2021	Multi-Task LearningRepresentation Learning	CodeCode Available	1
Raw High-Definition Radar for Multi-Task Learning	Dec 20, 2021	Multi-Task LearningVocal Bursts Intensity Prediction	CodeCode Available	1
Improving evidential deep learning via multi-task learning	Dec 17, 2021	Deep LearningMulti-Task Learning	CodeCode Available	1
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks	Dec 16, 2021	AttributeFact Verification	CodeCode Available	1
Improving Neural Cross-Lingual Summarization via Employing Optimal Transport Distance for Knowledge Distillation	Dec 7, 2021	Knowledge DistillationMulti-Task Learning	CodeCode Available	1
CTIN: Robust Contextual Transformer Network for Inertial Navigation	Dec 3, 2021	DecoderMulti-Task Learning	CodeCode Available	1
TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework using Self-Supervised Multi-Task Learning	Dec 2, 2021	DecoderMulti-Exposure Image Fusion	CodeCode Available	1
Skipping the Frame-Level: Event-Based Piano Transcription With Neural Semi-CRFs	Dec 1, 2021	Multi-Task LearningMusic Transcription	CodeCode Available	1
A generic physics-informed neural network-based framework for reliability assessment of multi-state systems	Dec 1, 2021	Multi-Task Learning	CodeCode Available	1
PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair	Dec 1, 2021	BIG-bench Machine LearningMulti-Task Learning	CodeCode Available	1
Learning Multiple Dense Prediction Tasks from Partially Annotated Data	Nov 29, 2021	Multi-Task LearningPrediction	CodeCode Available	1
Self-Regulated Learning for Egocentric Video Activity Anticipation	Nov 23, 2021	Multi-Task Learning	CodeCode Available	1
Grounding Psychological Shape Space in Convolutional Neural Networks	Nov 16, 2021	Multi-Task LearningTransfer Learning	CodeCode Available	1
Variational Multi-Task Learning with Gumbel-Softmax Priors	Nov 9, 2021	Bayesian InferenceMulti-Task Learning	CodeCode Available	1
Reinforcement Learning for Mixed Autonomy Intersections	Nov 8, 2021	Multi-Task Learningreinforcement-learning	CodeCode Available	1
InQSS: a speech intelligibility and quality assessment model using a multi-task learning network	Nov 4, 2021	Multi-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