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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 2501–2550 of 3687 papers

TitleStatusHype
fairseq S2T: Fast Speech-to-Text Modeling with fairseqCode0
Audio-Visual Speech Inpainting with Deep Learning—0
Age and Gender Prediction From Face Images Using Attentional Convolutional Network—0
Domain Adversarial Neural Networks for Dysarthric Speech Recognition—0
Multi-task Learning for Multilingual Neural Machine Translation—0
Parallax Motion Effect Generation Through Instance Segmentation And Depth Estimation—0
Efficient Meta Lifelong-Learning with Limited Memory—0
A Multi-Task Incremental Learning Framework with Category Name Embedding for Aspect-Category Sentiment AnalysisCode0
The Effective Methods for Intrusion Detection With Limited Network Attack Data: Multi-Task Learning and Oversampling—0
SAFENet: Self-Supervised Monocular Depth Estimation with Semantic-Aware Feature ExtractionCode0
Multi-Loss Sub-Ensembles for Accurate Classification with Uncertainty Estimation—0
Automatic CAD-RADS Scoring Using Deep Learning—0
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings—0
A Mixed Learning Objective for Neural Machine Translation—0
基于多任务学习的生成式阅读理解(Generative Reading Comprehension via Multi-task Learning)—0
Towards a Multi-modal, Multi-task Learning based Pre-training Framework for Document Representation Learning—0
Restoring Spatially-Heterogeneous Distortions using Mixture of Experts NetworkCode0
Distance Correlation Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies—0
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text—0
Where is the Model Looking At?--Concentrate and Explain the Network Attention—0
Residual acoustic echo suppression based on efficient multi-task convolutional neural network—0
A Multi-term and Multi-task Analyzing Framework for Affective Analysis in-the-wildCode0
Effects of Word-frequency based Pre- and Post- Processings for Audio Captioning—0
Rank-Based Multi-task Learning for Fair Regression—0
Relation Extraction from Biomedical and Clinical Text: Unified Multitask Learning Framework—0
Aggressive Language Detection with Joint Text Normalization via Adversarial Multi-task Learning—0
An Interpretable and Uncertainty Aware Multi-Task Framework for Multi-Aspect Sentiment AnalysisCode0
Retrofitting Structure-aware Transformer Language Model for End Tasks—0
Frequency-based Multi Task learning With Attention Mechanism for Fault Detection In Power Systems—0
Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network—0
A Unified Approach to Kinship Verification—0
Towards Interpretable Multi-Task Learning Using Bilevel Programming—0
Learning an Interpretable Graph Structure in Multi-Task Learning—0
Multi-Task Learning with Deep Neural Networks: A Survey—0
Accelerating Real-Time Question Answering via Question Generation—0
Multi-modal embeddings using multi-task learning for emotion recognition—0
Temporal Attribute-Appearance Learning Network for Video-based Person Re-Identification—0
Uncovering the Corona Virus Map Using Deep Entities and Relationship Models—0
UPB at SemEval-2020 Task 9: Identifying Sentiment in Code-Mixed Social Media Texts using Transformers and Multi-Task Learning—0
UPB at SemEval-2020 Task 8: Joint Textual and Visual Modeling in a Multi-Task Learning Architecture for Memotion Analysis—0
MFL_COVID19: Quantifying Country-based Factors affecting Case Fatality Rate in Early Phase of COVID-19 Epidemic via Regularised Multi-task Feature Learning—0
Phenotypical Ontology Driven Framework for Multi-Task Learning—0
Large Dimensional Analysis and Improvement of Multi Task Learning—0
Boosting Share Routing for Multi-task Learning—0
Knowledge Efficient Deep Learning for Natural Language Processing—0
Keypoint-Aligned Embeddings for Image Retrieval and Re-identification—0
HydaLearn: Highly Dynamic Task Weighting for Multi-task Learning with Auxiliary Tasks—0
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
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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