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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

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Showing 2401–2450 of 3687 papers

TitleStatusHype
Multi-Task Learning via Task Multi-Clustering—0
Approaching SMM4H with Merged Models and Multi-task Learning—0
Reducing the Model Variance of a Rectal Cancer Segmentation Network—0
Multi-task Learning with Attention for End-to-end Autonomous Driving—0
Appearance Learning for Image-based Motion Estimation in Tomography—0
Multi-Task Learning with Contextualized Word Representations for Extented Named Entity Recognition—0
Multi-task Learning with Cross Attention for Keyword Spotting—0
Multi-task learning with cross-task consistency for improved depth estimation in colonoscopy—0
Interacting with Explanations through Critiquing—0
Multi-task learning with deep model based reinforcement learning—0
Multi-Task Learning with Deep Neural Networks: A Survey—0
Multi-task Learning with Domain Knowledge for Molecular Property Prediction—0
Multi-task Learning with Gradient Communication—0
Multi-task Learning with Gradient Guided Policy Specialization—0
Tree DNN: A Deep Container Network—0
Multi-Task Learning with High-Order Statistics for X-vector based Text-Independent Speaker Verification—0
Multi-Task Learning with Incomplete Data for Healthcare—0
Multi-Task Learning with Knowledge Distillation for Dense Prediction—0
Multi-Task Learning with Labeled and Unlabeled Tasks—0
Multi-Task Learning with Language Modeling for Question Generation—0
Multi-Task Learning with LLMs for Implicit Sentiment Analysis: Data-level and Task-level Automatic Weight Learning—0
Multi-Task Learning with Loop Specific Attention for CDR Structure Prediction—0
Multi-Task Learning With Low Rank Attribute Embedding for Person Re-Identification—0
Multi-task Learning with Metadata for Music Mood Classification—0
Where's the Learning in Representation Learning for Compositional Semantics and the Case of Thematic Fit—0
Multi-task Learning with Multi-head Attention for Multi-choice Reading Comprehension—0
A Point-Based Approach to Efficient LiDAR Multi-Task Perception—0
Multi-Task Learning with Multi-Task Optimization—0
Tricks for Training Sparse Translation Models—0
Multi-Task Learning with Prior Information—0
Multi-Task Learning with Sentiment, Emotion, and Target Detection to Recognize Hate Speech and Offensive Language—0
Multi-Task Learning with Sequence-Conditioned Transporter Networks—0
A Personal Privacy Preserving Framework: I Let You Know Who Can See What—0
Multi-Task Learning with Summary Statistics—0
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems—0
Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy—0
Multi-task Magnetic Resonance Imaging Reconstruction using Meta-learning—0
TriCoLo: Trimodal Contrastive Loss for Text to Shape Retrieval—0
Trigger Word Detection and Thematic Role Identification via BERT and Multitask Learning—0
Multi-Task Metric Learning on Network Data—0
Multi-Task Modeling of Phonographic Languages: Translating Middle Egyptian Hieroglyphs—0
Multi-Task Model Personalization for Federated Supervised SVM in Heterogeneous Networks—0
Multi-Task, Multi-Channel, Multi-Input Learning for Mental Illness Detection using Social Media Text—0
Multi-task, multi-label and multi-domain learning with residual convolutional networks for emotion recognition—0
Multi-Task Multi-Scale Learning For Outcome Prediction in 3D PET Images—0
Multi-Task Networks With Universe, Group, and Task Feature Learning—0
MetricUNet: Synergistic Image- and Voxel-Level Learning for Precise CT Prostate Segmentation via Online Sampling—0
Multi-task Neural Network for Non-discrete Attribute Prediction in Knowledge Graphs—0
Multi-task neural networks by learned contextual inputs—0
Multi-task Neural Networks for Personalized Pain Recognition from Physiological Signals—0
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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