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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 2151–2200 of 3687 papers

TitleStatusHype
MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy for Multi-Task Learning—0
Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art—0
Multi-Objective Meta Learning—0
Efficacy of regularized multi-task learning based on SVM models—0
Asymptotically Optimal Regularization in Smooth Parametric Models—0
Multi-Order Networks for Action Unit Detection—0
MultiPA: A Multi-task Speech Pronunciation Assessment Model for Open Response Scenarios—0
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning—0
Multiple Face Analyses through Adversarial Learning—0
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods—0
TRACE: Transformer-based user Representations from Attributed Clickstream Event sequences—0
Adaptive Scheduling for Multi-Task Learning—0
Multi-Receiver Task-Oriented Communications via Multi-Task Deep Learning—0
Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering—0
Multi-scale Feature Enhancement in Multi-task Learning for Medical Image Analysis—0
Multi-Scale Graph Learning for Anti-Sparse Downscaling—0
Multi-Scale User Behavior Network for Entire Space Multi-Task Learning—0
Multi-script Handwritten Digit Recognition Using Multi-task Learning—0
Alternate Intermediate Conditioning with Syllable-level and Character-level Targets for Japanese ASR—0
Multi-Stage Prediction Networks for Data Harmonization—0
Multi-Target Prediction: A Unifying View on Problems and Methods—0
Multi-Target Regression via Input Space Expansion: Treating Targets as Inputs—0
When does deep multi-task learning work for loosely related document classification tasks?—0
Multi-Task Active Learning for Neural Semantic Role Labeling on Low Resource Conversational Corpus—0
3D Object Visibility Prediction in Autonomous Driving—0
Multi-task additive models with shared transfer functions based on dictionary learning—0
Traffic Sign Interpretation in Real Road Scene—0
Multi-Task and Multi-Modal Learning for RGB Dynamic Gesture Recognition—0
Multi-Task and Transfer Learning for Federated Learning Applications—0
Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification—0
A Survey of Malware Detection Using Deep Learning—0
Multi-Task Averaging—0
A Stutter Seldom Comes Alone -- Cross-Corpus Stuttering Detection as a Multi-label Problem—0
Multi-task Bias-Variance Trade-off Through Functional Constraints—0
Multitask Classification and Segmentation for Cancer Diagnosis in Mammography—0
Multi-Task Classification Hypothesis Space with Improved Generalization Bounds—0
Multi-task CNN Model for Attribute Prediction—0
Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings—0
Auxiliary Learning for Deep Multi-task Learning—0
Multi-task convolutional neural network for image aesthetic assessment—0
Multi-Task Cooperative Learning via Searching for Flat Minima—0
A study on the role of subsidiary information in replay attack spoofing detection—0
Affective Behavior Analysis using Action Unit Relation Graph and Multi-task Cross Attention—0
Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients—0
Multi-task Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translation—0
Multi-task deep learning for image segmentation using recursive approximation tasks—0
Multi-Task Deep Learning: Simultaneous Segmentation and Survival Analysis via Cox Proportional Hazards Regression—0
Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios—0
Multi-task Deep Neural Networks for Massive MIMO CSI Feedback—0
Multi-Task Deep Recommender Systems: A Survey—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