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

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Showing 226–250 of 3687 papers

TitleStatusHype
Unifying Molecular and Textual Representations via Multi-task Language ModellingCode1
Pre-training for Speech Translation: CTC Meets Optimal TransportCode1
tasksource: A Dataset Harmonization Framework for Streamlined NLP Multi-Task Learning and EvaluationCode1
DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense PredictionCode1
The CropAndWeed Dataset: A Multi-Modal Learning Approach for Efficient Crop and Weed ManipulationCode1
Push-the-Boundary: Boundary-aware Feature Propagation for Semantic Segmentation of 3D Point CloudsCode1
Dataless Knowledge Fusion by Merging Weights of Language ModelsCode1
OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist ModelsCode1
What do you MEME? Generating Explanations for Visual Semantic Role Labelling in MemesCode1
AIONER: All-in-one scheme-based biomedical named entity recognition using deep learningCode1
Global and Local Hierarchy-aware Contrastive Framework for Implicit Discourse Relation RecognitionCode1
Multi-Task Learning of Object State Changes from Uncurated VideosCode1
Unified Multimodal Model with Unlikelihood Training for Visual DialogCode1
Multi-task Learning for Camera CalibrationCode1
Multi-task Learning for Sparse Traffic ForecastingCode1
Hierarchical Pronunciation Assessment with Multi-Aspect AttentionCode1
FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User HeterogeneityCode1
MT4SSL: Boosting Self-Supervised Speech Representation Learning by Integrating Multiple TargetsCode1
Radiomics-enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck CancerCode1
Trackerless freehand ultrasound with sequence modelling and auxiliary transformation over past and future framesCode1
Hyperparameter optimization in deep multi-target predictionCode1
TLP: A Deep Learning-based Cost Model for Tensor Program TuningCode1
Curriculum-based Asymmetric Multi-task Reinforcement LearningCode1
Hierarchical Multi-Label Classification of Scientific DocumentsCode1
Semantic SuperPoint: A Deep Semantic DescriptorCode1
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All datasetsQM9Cityscapes testNYUv2OMNIGLOTCelebAUTKFacewireframe dataset

Benchmark Results

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