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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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 351–375 of 3687 papers

TitleStatusHype
An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and NormalizationCode1
Audio-Visual Deception Detection: DOLOS Dataset and Parameter-Efficient Crossmodal LearningCode1
Improving Neural Cross-Lingual Summarization via Employing Optimal Transport Distance for Knowledge DistillationCode1
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth EstimationCode1
Allophant: Cross-lingual Phoneme Recognition with Articulatory AttributesCode1
Incorporating Commonsense Knowledge into Story Ending Generation via Heterogeneous Graph NetworksCode1
In Defense of the Unitary Scalarization for Deep Multi-Task LearningCode1
Indoor Scene Recognition in 3DCode1
ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text TranslationCode1
AutoMTL: A Programming Framework for Automating Efficient Multi-Task LearningCode1
CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task LearningCode1
JOINED : Prior Guided Multi-task Learning for Joint Optic Disc/Cup Segmentation and Fovea DetectionCode1
Automatic Severity Classification of Dysarthric speech by using Self-supervised Model with Multi-task LearningCode1
Deep Learning for Automatic Pneumonia DetectionCode1
JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving ScenesCode1
Knowledge Distillation for Multi-task LearningCode1
An End-to-End Multi-Task Learning Model for Image-based Table RecognitionCode1
Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous ModalitiesCode1
A Frustratingly Easy Approach for Entity and Relation ExtractionCode1
Label-Efficient Multi-Task Segmentation using Contrastive LearningCode1
Language Models are Unsupervised Multitask LearnersCode1
Large Language Models for Expansion of Spoken Language Understanding Systems to New LanguagesCode1
CIF: Continuous Integrate-and-Fire for End-to-End Speech RecognitionCode1
LEAF: A Benchmark for Federated SettingsCode1
CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of ModalityCode1
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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