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 501525 of 3687 papers

TitleStatusHype
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective AdaptationCode1
Instruction Tuning for Few-Shot Aspect-Based Sentiment AnalysisCode1
CentralNet: a Multilayer Approach for Multimodal FusionCode1
Improving AMR Parsing with Sequence-to-Sequence Pre-trainingCode1
Image-Based and Partially Categorical Annotating Approach for Pedestrian Attribute RecognitionCode1
FedHCA^2: Towards Hetero-Client Federated Multi-Task LearningCode1
Improved Feature Distillation via Projector EnsembleCode1
Towards Recognizing New Semantic Concepts in New Visual DomainsCode1
Improvable Gap Balancing for Multi-Task LearningCode1
Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment AnalysisCode1
Improving Image Captioning with Better Use of CaptionsCode1
Camera Calibration through Camera Projection LossCode1
An Effective System for Multi-format Information ExtractionCode1
Causal Inference for Chatting HandoffCode1
Improving Neural Cross-Lingual Summarization via Employing Optimal Transport Distance for Knowledge DistillationCode1
CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance ComputingCode1
CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation SystemsCode1
Improving evidential deep learning via multi-task learningCode1
An Efficient Framework for Clustered Federated LearningCode1
CIF: Continuous Integrate-and-Fire for End-to-End Speech RecognitionCode1
CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of ModalityCode1
Continual Learning in Task-Oriented Dialogue SystemsCode1
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task LearningCode1
In Defense of the Unitary Scalarization for Deep Multi-Task LearningCode1
Cascading Residual Graph Convolutional Network for Multi-Behavior RecommendationCode1
Show:102550
← PrevPage 21 of 148Next →

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