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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
Deep Learning for Automatic Pneumonia DetectionCode1
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object TrackingCode1
Audio-Visual Deception Detection: DOLOS Dataset and Parameter-Efficient Crossmodal LearningCode1
AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT ImagesCode1
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft PromptsCode1
Denoising Task Routing for Diffusion ModelsCode1
Deep Multi-Task Learning for SSVEP Detection and Visual Response MappingCode1
A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment AnalysisCode1
A Recurrent Vision-and-Language BERT for NavigationCode1
DisCor: Corrective Feedback in Reinforcement Learning via Distribution CorrectionCode1
A Unified Object Motion and Affinity Model for Online Multi-Object TrackingCode1
Auto-Lambda: Disentangling Dynamic Task RelationshipsCode1
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
DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task 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
A Unified Span-Based Approach for Opinion Mining with Syntactic ConstituentsCode1
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
Automatic Charge Identification from Facts: A Few Sentence-Level Charge Annotations is All You NeedCode1
End-to-end Emotion-Cause Pair Extraction via Learning to LinkCode1
DaWin: Training-free Dynamic Weight Interpolation for Robust AdaptationCode1
ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classificationCode1
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic EnvironmentsCode1
AV-RIR: Audio-Visual Room Impulse Response EstimationCode1
Deeper Task-Specificity Improves Joint Entity and Relation ExtractionCode1
Deep Homography Estimation for Dynamic ScenesCode1
DeepUnifiedMom: Unified Time-series Momentum Portfolio Construction via Multi-Task Learning with Multi-Gate Mixture of ExpertsCode1
Dual-Domain Coarse-to-Fine Progressive Estimation Network for Simultaneous Denoising, Limited-View Reconstruction, and Attenuation Correction of Cardiac SPECTCode1
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
DenseMTL: Cross-task Attention Mechanism for Dense 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
Anomaly Detection in Video via Self-Supervised and Multi-Task LearningCode1
AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in RecommendationsCode1
CoTexT: Multi-task Learning with Code-Text TransformerCode1
A Paragraph-level Multi-task Learning Model for Scientific Fact-VerificationCode1
Accurate Emotion Strength Assessment for Seen and Unseen Speech Based on Data-Driven Deep LearningCode1
CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task LearningCode1
COVID-CT-Dataset: A CT Scan Dataset about COVID-19Code1
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance SegmentationCode1
AdaRank: Adaptive Rank Pruning for Enhanced Model MergingCode1
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment AnalysisCode1
Continued Pretraining for Better Zero- and Few-Shot PromptabilityCode1
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