SOTAVerified

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 101125 of 3687 papers

TitleStatusHype
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task LearningCode1
CIF: Continuous Integrate-and-Fire for End-to-End Speech RecognitionCode1
Compressed Context Memory For Online Language Model InteractionCode1
Compressed Interaction Graph based Framework for Multi-behavior RecommendationCode1
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less DataCode1
Conflict-Averse Gradient Descent for Multi-task LearningCode1
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series DataCode1
Continued Pretraining for Better Zero- and Few-Shot PromptabilityCode1
CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance ComputingCode1
Copolymer Informatics with Multi-Task Deep Neural NetworksCode1
CentralNet: a Multilayer Approach for Multimodal FusionCode1
CSI-Bench: A Large-Scale In-the-Wild Dataset for Multi-task WiFi SensingCode1
Specialty-Oriented Generalist Medical AI for Chest CT ScreeningCode1
Curriculum-based Asymmetric Multi-task Reinforcement LearningCode1
A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment AnalysisCode1
Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential EquationsCode1
Acoustic Prompt Tuning: Empowering Large Language Models with Audition CapabilitiesCode1
Dataless Knowledge Fusion by Merging Weights of Language ModelsCode1
A Gradually Soft Multi-Task and Data-Augmented Approach to Medical Question UnderstandingCode1
Deep Homography Estimation for Dynamic ScenesCode1
AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT ImagesCode1
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CTCode1
CERBERUS: Simple and Effective All-In-One Automotive Perception Model with Multi Task LearningCode1
DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense PredictionCode1
CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation SystemsCode1
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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