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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 3401–3450 of 3687 papers

TitleStatusHype
MTNA: A Neural Multi-task Model for Aspect Category Classification and Aspect Term Extraction On Restaurant Reviews—0
Extracting Important Tweets for News Writers using Recurrent Neural Network with Attention Mechanism and Multi-task Learning—0
Proofread Sentence Generation as Multi-Task Learning with Editing Operation Prediction—0
Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder—0
A Multi-task Learning Approach to Adapting Bilingual Word Embeddings for Cross-lingual Named Entity Recognition—0
Learning Neural Representations of Human Cognition across Many fMRI StudiesCode0
Multi-Task Learning by Deep Collaboration and Application in Facial Landmark DetectionCode0
Generalization Tower Network: A Novel Deep Neural Network Architecture for Multi-Task LearningCode0
Bringing Semantic Structures to User Intent Detection in Online Medical Queries—0
Multi-Task Learning for Speaker-Role Adaptation in Neural Conversation Models—0
Multi-Task Label Embedding for Text Classification—0
Manifold regularization based on Nyström type subsampling—0
Multitask Learning using Task Clustering with Applications to Predictive Modeling and GWAS of Plant Varieties—0
Learning Multi-Attention Convolutional Neural Network for Fine-Grained Image RecognitionCode0
Multi-task Learning with Gradient Guided Policy Specialization—0
Multi-Task Learning for Segmentation of Building Footprints with Deep Neural NetworksCode0
MultiNet: Multi-Modal Multi-Task Learning for Autonomous Driving—0
Deep Automated Multi-task Learning—0
Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition—0
MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving—0
Learning Gating ConvNet for Two-Stream based Methods in Action RecognitionCode0
Image Splicing Localization Using A Multi-Task Fully Convolutional Network (MFCN)Code0
Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification—0
Using Gaze to Predict Text Readability—0
Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning—0
Towards Improving Abstractive Summarization via Entailment Generation—0
Exploring Cross-Lingual Transfer of Morphological Knowledge In Sequence-to-Sequence Models—0
Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction—0
Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks—0
Extending hybrid word-character neural machine translation with multi-task learning of morphological analysis—0
Transparent text quality assessment with convolutional neural networks—0
Extractive Summarization Using Multi-Task Learning with Document Classification—0
Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension—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
The NTNU System at SemEval-2017 Task 10: Extracting Keyphrases and Relations from Scientific Publications Using Multiple Conditional Random Fields—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
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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