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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 2551–2575 of 3687 papers

TitleStatusHype
A Multitask Learning Approach for Diacritic Restoration—0
No-Reference Image Quality Assessment via Feature Fusion and Multi-Task Learning—0
Knowledge transfer between bridges for drive-by monitoring using adversarial and multi-task learning—0
End-to-End Speech-Translation with Knowledge Distillation: FBK@IWSLT2020—0
Feature-weighted elastic net: using "features of features" for better predictionCode0
Learning to Branch for Multi-Task Learning—0
HAMBox: Delving Into Mining High-Quality Anchors on Face Detection—0
Pattern-Structure Diffusion for Multi-Task Learning—0
Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulasCode1
Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLPCode1
Language Models are Few-Shot LearnersCode3
Deep Learning for Automatic Pneumonia DetectionCode1
Joint Modelling of Emotion and Abusive Language Detection—0
Multi-task deep learning for image segmentation using recursive approximation tasks—0
Visual Interest Prediction with Attentive Multi-Task Transfer Learning—0
Happy Are Those Who Grade without Seeing: A Multi-Task Learning Approach to Grade Essays Using Gaze BehaviourCode0
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans—0
The Discussion Tracker Corpus of Collaborative Argumentation—0
Interacting with Explanations through Critiquing—0
Unsupervised Domain Adaptation in Semantic Segmentation: a Review—0
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation—0
Team Neuro at SemEval-2020 Task 8: Multi-Modal Fine Grain Emotion Classification of Memes using Multitask Learning—0
M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender SystemsCode1
Learning to segment clustered amoeboid cells from brightfield microscopy via multi-task learning with adaptive weight selection—0
Efficient Image Gallery Representations at Scale Through Multi-Task Learning—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