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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
CTIN: Robust Contextual Transformer Network for Inertial NavigationCode1
CSI-Bench: A Large-Scale In-the-Wild Dataset for Multi-task WiFi SensingCode1
Dataless Knowledge Fusion by Merging Weights of Language ModelsCode1
DaWin: Training-free Dynamic Weight Interpolation for Robust AdaptationCode1
Deeper Task-Specificity Improves Joint Entity and Relation ExtractionCode1
Deep Homography Estimation for Dynamic ScenesCode1
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series DataCode1
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CTCode1
Specialty-Oriented Generalist Medical AI for Chest CT ScreeningCode1
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance SegmentationCode1
CoTexT: Multi-task Learning with Code-Text TransformerCode1
Detecting 32 Pedestrian Attributes for Autonomous VehiclesCode1
A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment AnalysisCode1
DisCor: Corrective Feedback in Reinforcement Learning via Distribution CorrectionCode1
Does Text Attract Attention on E-Commerce Images: A Novel Saliency Prediction Dataset and MethodCode1
Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential EquationsCode1
Acoustic Prompt Tuning: Empowering Large Language Models with Audition CapabilitiesCode1
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot LearningCode1
Efficient Diffusion Training via Min-SNR Weighting StrategyCode1
COVID-CT-Dataset: A CT Scan Dataset about COVID-19Code1
Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in TextsCode1
Empirical Bayes Transductive Meta-Learning with Synthetic GradientsCode1
Copolymer Informatics with Multi-Task Deep Neural NetworksCode1
End-to-End Multi-Task Learning with AttentionCode1
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
Continuous Urban Change Detection from Satellite Image Time Series with Temporal Feature Refinement and Multi-Task IntegrationCode1
CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task LearningCode1
DenseMTL: Cross-task Attention Mechanism for Dense Multi-task LearningCode1
DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect EstimationCode1
Explain and Predict, and then Predict AgainCode1
ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text TranslationCode1
Compressed Interaction Graph based Framework for Multi-behavior RecommendationCode1
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less DataCode1
Combinatorial Optimization Perspective based Framework for Multi-behavior RecommendationCode1
Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous ModalitiesCode1
Compressed Context Memory For Online Language Model InteractionCode1
Conflict-Averse Gradient Descent for Multi-task LearningCode1
CodeFill: Multi-token Code Completion by Jointly Learning from Structure and Naming SequencesCode1
AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in RecommendationsCode1
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and GenerationCode1
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task LearningCode1
Accurate Emotion Strength Assessment for Seen and Unseen Speech Based on Data-Driven Deep LearningCode1
CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance ComputingCode1
Context-Aware Answer Extraction in Question AnsweringCode1
AdaRank: Adaptive Rank Pruning for Enhanced Model MergingCode1
CentralNet: a Multilayer Approach for Multimodal FusionCode1
CERBERUS: Simple and Effective All-In-One Automotive Perception Model with Multi Task LearningCode1
Adaptive Transfer Learning on Graph Neural NetworksCode1
360 Depth Estimation in the Wild -- The Depth360 Dataset and the SegFuse NetworkCode1
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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