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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 2451–2475 of 3687 papers

TitleStatusHype
CnGAN: Generative Adversarial Networks for Cross-network user preference generation for non-overlapped usersCode0
Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and ResourcesCode0
NCS4CVR: Neuron-Connection Sharing for Multi-Task Learning in Video Conversion Rate Prediction—0
Learning to Profile: User Meta-Profile Network for Few-Shot Learning—0
Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting—0
Stock Index Prediction with Multi-task Learning and Word Polarity Over Time—0
Multi-Task Learning for Interpretable Weakly Labelled Sound Event DetectionCode1
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View SynthesisCode0
Monocular Instance Motion Segmentation for Autonomous Driving: KITTI InstanceMotSeg Dataset and Multi-task Baseline—0
Weakly-supervised Learning for Single-step Quantitative Susceptibility Mapping—0
Small Towers Make Big Differences—0
Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations—0
Modeling Prosodic Phrasing with Multi-Task Learning in Tacotron-based TTS—0
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification—0
Predicting Risk of Developing Diabetic Retinopathy using Deep Learning—0
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving—0
Point or Generate Dialogue State Tracker—0
A Multi-Task Learning Approach for Human Activity Segmentation and Ergonomics Risk AssessmentCode0
Improving on-device speaker verification using federated learning with privacy—0
Hybrid Transformer/CTC Networks for Hardware Efficient Voice Triggering—0
MultiCheXNet: A Multi-Task Learning Deep Network For Pneumonia-like Diseases Diagnosis From X-ray ScansCode1
Learning Boost by Exploiting the Auxiliary Task in Multi-task Domain—0
TPG-DNN: A Method for User Intent Prediction Based on Total Probability Formula and GRU Loss with Multi-task Learning—0
Learning Interpretable Microscopic Features of Tumor by Multi-task Adversarial CNNs To Improve GeneralizationCode0
Joint Object Contour Points and Semantics for Instance Segmentation—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