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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 2576–2600 of 3687 papers

TitleStatusHype
Neural Multi-Task Learning for Teacher Question Detection in Online Classrooms—0
MetricUNet: Synergistic Image- and Voxel-Level Learning for Precise CT Prostate Segmentation via Online Sampling—0
Multi-Task Learning in Histo-pathology for Widely Generalizable Model—0
Text Synopsis Generation for Egocentric Videos—0
Domain Aware Training for Far-field Small-footprint Keyword Spotting—0
An Empirical Study of Multi-Task Learning on BERT for Biomedical Text MiningCode1
Multi-task pre-training of deep neural networks for digital pathologyCode1
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and ApplicationsCode0
Words aren't enough, their order matters: On the Robustness of Grounding Visual Referring ExpressionsCode1
Boundary-aware Context Neural Network for Medical Image SegmentationCode0
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic DataCode1
UnifiedQA: Crossing Format Boundaries With a Single QA SystemCode1
Understanding and Improving Information Transfer in Multi-Task Learning—0
Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning—0
Aggression and Misogyny Detection using BERT: A Multi-Task ApproachCode1
When is Multi-task Learning Beneficial for Low-Resource Noisy Code-switched User-generated Algerian Texts?—0
Multi-Task Learning using AraBert for Offensive Language Detection—0
Recurrent Interaction Network for Jointly Extracting Entities andClassifying Relations—0
Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations—0
AdapterFusion: Non-Destructive Task Composition for Transfer LearningCode2
Low Resource Multi-Task Sequence Tagging -- Revisiting Dynamic Conditional Random Fields—0
Generative Adversarial Data Programming—0
Polygonal Building Segmentation by Frame Field LearningCode1
Accurate Word Alignment Induction from Neural Machine TranslationCode0
Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction—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