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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 3151–3175 of 3687 papers

TitleStatusHype
Multi-task Planar Reconstruction with Feature Warping GuidanceCode0
Vulnerability-Aware Spatio-Temporal Learning for Generalizable and Interpretable Deepfake Video DetectionCode0
End-to-end Multi-Modal Multi-Task Vehicle Control for Self-Driving Cars with Visual PerceptionCode0
Semi-supervised Vector-valued Learning: Improved Bounds and AlgorithmsCode0
Learning visual-based deformable object rearrangement with local graph neural networksCode0
Multi-task problems are not multi-objectiveCode0
Bidirectional Domain Adaptation Using Weighted Multi-Task LearningCode0
Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly DetectionCode0
Learning Zero-Shot Multifaceted Visually Grounded Word Embeddings via Multi-Task TrainingCode0
End-to-end Multimodal Emotion and Gender Recognition with Dynamic Joint Loss WeightsCode0
Legal Judgment Prediction via Topological LearningCode0
Improving End-to-End Text Image Translation From the Auxiliary Text Translation TaskCode0
Restoring Spatially-Heterogeneous Distortions using Mixture of Experts NetworkCode0
Less is More -- Towards parsimonious multi-task models using structured sparsityCode0
Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal Bavarian Case StudyCode0
Let-Mi: An Arabic Levantine Twitter Dataset for Misogynistic LanguageCode0
EMT-NAS:Transferring Architectural Knowledge Between Tasks From Different DatasetsCode0
Multi-Task Learning Framework for Emotion Recognition in-the-wildCode0
Multi-task Representation Learning for Mixed Integer Linear ProgrammingCode0
Beyond Knowledge Silos: Task Fingerprinting for Democratization of Medical Imaging AICode0
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural NetworksCode0
Leveraging knowledge distillation for partial multi-task learning from multiple remote sensing datasetsCode0
Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural NetworksCode0
Rethinking and Improving Multi-task Learning for End-to-end Speech TranslationCode0
Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning ApproachCode0
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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