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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

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Showing 3101–3150 of 3687 papers

TitleStatusHype
Learning Multiple Pixelwise Tasks Based on Loss Scale BalancingCode0
Multi-Task Learning with Multi-Annotation Triplet Loss for Improved Object DetectionCode0
Reinforcement Guided Multi-Task Learning Framework for Low-Resource Stereotype DetectionCode0
Enhancing Relation Extraction via Adversarial Multi-task LearningCode0
Reinforcement Learning and Deep Learning based Lateral Control for Autonomous DrivingCode0
Learning Neural Representations of Human Cognition across Many fMRI StudiesCode0
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question AnsweringCode0
When Multi-Task Learning Meets Partial Supervision: A Computer Vision ReviewCode0
Cross-type Biomedical Named Entity Recognition with Deep Multi-Task LearningCode0
Understanding and Modeling Passive-Negative Feedback for Short-video Sequential RecommendationCode0
Learning Relatedness between Types with Prototypes for Relation ExtractionCode0
Enhancing Crisis-Related Tweet Classification with Entity-Masked Language Modeling and Multi-Task LearningCode0
Cross-Task Consistency Learning Framework for Multi-Task LearningCode0
Enhancing Criminal Case Matching through Diverse Legal FactorsCode0
Cross-stitch Networks for Multi-task LearningCode0
Learning Sparse Sharing Architectures for Multiple TasksCode0
Incorporating Singletons and Mention-based Features in Coreference Resolution via Multi-task Learning for Better GeneralizationCode0
Statistical mechanics of continual learning: variational principle and mean-field potentialCode0
Multi-Task Meta Learning: learn how to adapt to unseen tasksCode0
Incorporating Joint Embeddings into Goal-Oriented Dialogues with Multi-Task LearningCode0
Incomplete Utterance Rewriting with Editing Operation Guidance and Utterance AugmentationCode0
Simultaneous Perturbation Method for Multi-Task Weight Optimization in One-Shot Meta-LearningCode0
Learning to Detect Multiple Photographic DefectsCode0
Improving Social Meaning Detection with Pragmatic Masking and Surrogate Fine-TuningCode0
Learning to Generate Explanation from e-Hospital Services for Medical SuggestionCode0
A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role LabelingCode0
Improving Sentiment Analysis with Multi-task Learning of NegationCode0
Improving Robustness of Neural Machine Translation with Multi-task LearningCode0
Boundary-aware Context Neural Network for Medical Image SegmentationCode0
Cross-Stitched Multi-task Dual Recursive Networks for Unified Single Image Deraining and DesnowingCode0
Representation Disentanglement for Multi-task Learning with application to Fetal UltrasoundCode0
Learning to Make Predictions on Graphs with AutoencodersCode0
Learning to Maximize Mutual Information for Chain-of-Thought DistillationCode0
Learning to Multi-Task by Active SamplingCode0
STG-MTL: Scalable Task Grouping for Multi-Task Learning Using Data MapCode0
ST-MTL: Spatio-Temporal Multitask Learning Model to Predict Scanpath While Tracking Instruments in Robotic SurgeryCode0
Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic ImageryCode0
Improving Relation Extraction by Leveraging Knowledge Graph Link PredictionCode0
Multi-Task Neural Models for Translating Between Styles Within and Across LanguagesCode0
Understanding COVID-19 Vaccine Campaign on Facebook using Minimal SupervisionCode0
Towards Explainable Multimodal Depression Recognition for Clinical InterviewsCode0
Improving Neural Story Generation by Targeted Common Sense GroundingCode0
Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled DataCode0
Learning to Represent Bilingual DictionariesCode0
Critical Learning Periods Emerge Even in Deep Linear NetworksCode0
Bi-Preference Learning Heterogeneous Hypergraph Networks for Session-based RecommendationCode0
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary NetworksCode0
Asynchronous Multi-Task LearningCode0
Learning to Transfer for Traffic Forecasting via Multi-task LearningCode0
Residual Multi-Task Learner for Applied RankingCode0
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All datasetsQM9Cityscapes testNYUv2OMNIGLOTCelebAUTKFacewireframe dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PCGrad∆m%125.7—Unverified
2CAGrad∆m%112.8—Unverified
3IMTL-G∆m%77.2—Unverified
4Nash-MTL∆m%62—Unverified
5BayesAgg-MTL∆m%53.7—Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLmIoU76.41—Unverified
2Nash-MTLmIoU75.41—Unverified
3MultiObjectiveOptimizationmIoU66.63—Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLMean IoU58.14—Unverified
2Nash-MTLMean IoU40.13—Unverified
#ModelMetricClaimedVerifiedStatus
1Gumbel-Matrix RoutingAverage Accuracy93.52—Unverified
2Mixture-of-ExpertsAverage Accuracy92.19—Unverified
#ModelMetricClaimedVerifiedStatus
1MGDA-UBError8.25—Unverified
#ModelMetricClaimedVerifiedStatus
1BayesAgg-MTLdelta_m-2.23—Unverified
#ModelMetricClaimedVerifiedStatus
1LETRFH83.3—Unverified