SOTAVerified

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 3426–3450 of 3687 papers

TitleStatusHype
Transparent text quality assessment with convolutional neural networks—0
Extractive Summarization Using Multi-Task Learning with Document Classification—0
Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification—0
Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning—0
Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction—0
Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension—0
Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks—0
Video Captioning with Guidance of Multimodal Latent Topics—0
Curriculum Learning for Multi-Task Classification of Visual Attributes—0
Robust Task Clustering for Deep Many-Task Learning—0
Multi-task Neural Networks for Personalized Pain Recognition from Physiological Signals—0
Multi-task Neural Network for Non-discrete Attribute Prediction in Knowledge Graphs—0
A neural network multi-task learning approach to biomedical named entity recognitionCode0
Towards Speech Emotion Recognition "in the wild" using Aggregated Corpora and Deep Multi-Task Learning—0
Cross-Sentence N-ary Relation Extraction with Graph LSTMs—0
DeepFaceLIFT: Interpretable Personalized Models for Automatic Estimation of Self-Reported Pain—0
Transitive Invariance for Self-supervised Visual Representation Learning—0
Learning a Repression Network for Precise Vehicle SearchCode0
ISS-MULT: Intelligent Sample Selection for Multi-Task Learning in Question Answering—0
Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning—0
OmniArt: Multi-task Deep Learning for Artistic Data Analysis—0
Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity—0
Joint Prediction of Morphosyntactic Categories for Fine-Grained Arabic Part-of-Speech Tagging Exploiting Tag Dictionary Information—0
The NTNU System at SemEval-2017 Task 10: Extracting Keyphrases and Relations from Scientific Publications Using Multiple Conditional Random Fields—0
CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd CountingCode0
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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