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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

Showing 101150 of 3687 papers

TitleStatusHype
DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task LearningCode1
Deeper Task-Specificity Improves Joint Entity and Relation ExtractionCode1
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CTCode1
Deep Multi-Task Learning for SSVEP Detection and Visual Response MappingCode1
Deep Learning for Automatic Pneumonia DetectionCode1
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement LearningCode1
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series DataCode1
DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect EstimationCode1
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential RecommendationCode1
A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment AnalysisCode1
AutoMTL: A Programming Framework for Automating Efficient Multi-Task LearningCode1
Does Text Attract Attention on E-Commerce Images: A Novel Saliency Prediction Dataset and MethodCode1
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot LearningCode1
Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-level Sparsity via Mixture-of-ExpertsCode1
Audio-Visual Deception Detection: DOLOS Dataset and Parameter-Efficient Crossmodal LearningCode1
Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential EquationsCode1
Acoustic Prompt Tuning: Empowering Large Language Models with Audition CapabilitiesCode1
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft PromptsCode1
Automatic Severity Classification of Dysarthric speech by using Self-supervised Model with Multi-task LearningCode1
Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulasCode1
A Unified Object Motion and Affinity Model for Online Multi-Object TrackingCode1
End-to-end Emotion-Cause Pair Extraction via Learning to LinkCode1
A Paragraph-level Multi-task Learning Model for Scientific Fact-VerificationCode1
Auto-Lambda: Disentangling Dynamic Task RelationshipsCode1
ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classificationCode1
Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task LearningCode1
APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task LearningCode1
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object TrackingCode1
DaWin: Training-free Dynamic Weight Interpolation for Robust AdaptationCode1
AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT ImagesCode1
Explain and Predict, and then Predict AgainCode1
Specialty-Oriented Generalist Medical AI for Chest CT ScreeningCode1
CTIN: Robust Contextual Transformer Network for Inertial NavigationCode1
Curriculum-based Asymmetric Multi-task Reinforcement LearningCode1
Anomaly Detection in Video via Self-Supervised and Multi-Task LearningCode1
Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous ModalitiesCode1
CSI-Bench: A Large-Scale In-the-Wild Dataset for Multi-task WiFi SensingCode1
Customizing Language Models with Instance-wise LoRA for Sequential RecommendationCode1
An Investigation of End-to-End Models for Robust Speech RecognitionCode1
AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in RecommendationsCode1
COVID-CT-Dataset: A CT Scan Dataset about COVID-19Code1
Annotating Columns with Pre-trained Language ModelsCode1
Accurate Emotion Strength Assessment for Seen and Unseen Speech Based on Data-Driven Deep LearningCode1
CoTexT: Multi-task Learning with Code-Text TransformerCode1
DenseMTL: Cross-task Attention Mechanism for Dense Multi-task LearningCode1
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance SegmentationCode1
AdaRank: Adaptive Rank Pruning for Enhanced Model MergingCode1
Continued Pretraining for Better Zero- and Few-Shot PromptabilityCode1
Continuous Urban Change Detection from Satellite Image Time Series with Temporal Feature Refinement and Multi-Task IntegrationCode1
Adaptive Transfer Learning on Graph Neural NetworksCode1
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Benchmark Results

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