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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 2501–2525 of 3687 papers

TitleStatusHype
Low-Latency Neural Speech Translation—0
Low-Latency Task-Oriented Communications with Multi-Round, Multi-Task Deep Learning—0
Low-Rank Deep Convolutional Neural Network for Multi-Task Learning—0
Low-Resolution Chest X-ray Classification via Knowledge Distillation and Multi-task Learning—0
Low Resource Multi-Task Sequence Tagging -- Revisiting Dynamic Conditional Random Fields—0
LRN: Limitless Routing Networks for Effective Multi-task Learning—0
LT3 at SemEval-2020 Task 8: Multi-Modal Multi-Task Learning for Memotion Analysis—0
NCS4CVR: Neuron-Connection Sharing for Multi-Task Learning in Video Conversion Rate Prediction—0
Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches—0
M3FPolypSegNet: Segmentation Network with Multi-frequency Feature Fusion for Polyp Localization in Colonoscopy Images—0
M3TCM: Multi-modal Multi-task Context Model for Utterance Classification in Motivational Interviews—0
Machine Learning Approach to Polymerization Reaction Engineering: Determining Monomers Reactivity Ratios—0
Machine Learning-Assisted Thermoelectric Cooling for On-Demand Multi-Hotspot Thermal Management—0
Machine Reading Comprehension: Generative or Extractive Reader?—0
Macro Graph of Experts for Billion-Scale Multi-Task Recommendation—0
MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor Based on Multi-Task Adversarial Training—0
Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks—0
MALoRA: Mixture of Asymmetric Low-Rank Adaptation for Enhanced Multi-Task Learning—0
MAM: Masked Acoustic Modeling for End-to-End Speech-to-Text Translation—0
MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine Collaboration in Breast Cancer Diagnosis—0
Manifold regularization based on Nyström type subsampling—0
Many-Objective Multi-Solution Transport—0
MARRO: Multi-headed Attention for Rhetorical Role Labeling in Legal Documents—0
MaskBEV: Towards A Unified Framework for BEV Detection and Map Segmentation—0
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain—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