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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 2001–2050 of 3687 papers

TitleStatusHype
Unified 3D Mesh Recovery of Humans and Animals by Learning Animal Exercise—0
PCA-based Multi Task Learning: a Random Matrix Approach—0
Multi-task Learning to Enable Location Mention Identification in the Early Hours of a Crisis Event—0
BPM_MT: Enhanced Backchannel Prediction Model using Multi-Task Learning—0
Efficient Multi-Task Auxiliary Learning: Selecting Auxiliary Data by Feature SimilarityCode0
GenerativeRE: Incorporating a Novel Copy Mechanism and Pretrained Model for Joint Entity and Relation Extraction—0
Knowledge-Interactive Network with Sentiment Polarity Intensity-Aware Multi-Task Learning for Emotion Recognition in Conversations—0
Multi-task Learning in Argument Mining for Persuasive Online Discussions—0
Cross-lingual Sentence Embedding using Multi-Task Learning—0
Synchronous Dual Network with Cross-Type Attention for Joint Entity and Relation Extraction—0
Netmarble AI Center’s WMT21 Automatic Post-Editing Shared Task Submission—0
Come hither or go away? Recognising pre-electoral coalition signals in the news—0
Synthetic Data Generation and Multi-Task Learning for Extracting Temporal Information from Health-Related Narrative Text—0
Papago’s Submission for the WMT21 Quality Estimation Shared Task—0
Jump-Starting Item Parameters for Adaptive Language Tests—0
KOAS: Korean Text Offensiveness Analysis System—0
Multi-Task Learning based Convolutional Models with Curriculum Learning for the Anisotropic Reynolds Stress Tensor in Turbulent Duct Flow—0
Multi-Task and Multi-Modal Learning for RGB Dynamic Gesture Recognition—0
Aligned Multi-Task Gaussian Process—0
Scalable Unidirectional Pareto Optimality for Multi-Task Learning with Constraints—0
Facial Emotion Recognition: A multi-task approach using deep learningCode0
A multi-task learning-based optimization approach for finding diverse sets of material microstructures with desired properties and its application to texture optimization—0
Revisit Multimodal Meta-Learning through the Lens of Multi-Task LearningCode0
Adversarial Robustness in Multi-Task Learning: Promises and IllusionsCode0
Multi-Faceted Hierarchical Multi-Task Learning for a Large Number of Tasks with Multi-dimensional Relations—0
How to transfer algorithmic reasoning knowledge to learn new algorithms?—0
Simultaneous Perturbation Method for Multi-Task Weight Optimization in One-Shot Meta-LearningCode0
Multi-task Recurrent Neural Networks to Simultaneously Infer Mode and Purpose in GPS Trajectories—0
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain AdaptationCode0
Topic-Guided Abstractive Multi-Document Summarization—0
Simpler Does It: Generating Semantic Labels with Objectness Guidance—0
Knowledge distillation from language model to acoustic model: a hierarchical multi-task learning approach—0
Multi-Task Accelerated MR Reconstruction Schemes for Jointly Training Multiple ContrastsCode0
Importance Estimation from Multiple Perspectives for Keyphrase Extraction—0
Speech Representation Learning Through Self-supervised Pretraining And Multi-task Finetuning—0
A Bayesian approach to multi-task learning with network lasso—0
Pareto Navigation Gradient Descent: a First-Order Algorithm for Optimization in Pareto Set—0
BotsTalk: Machine-Sourced Framework for Automatic Curation of Large-scale Multi-skill Dialogue Datasets—0
Collaborative Multi-Task Representation for Natural Language Understanding—0
On Generating Identifiable Virtual Faces—0
Tricks for Training Sparse Translation Models—0
Transformer-based Multi-task Learning for Disaster Tweet CategorisationCode0
Multi-task problems are not multi-objectiveCode0
Semi-supervised Multi-task Learning for Semantics and Depth—0
Joint Learning On The Hierarchy Representation for Fine-Grained Human Action Recognition—0
Multi-Task Learning for Situated Multi-Domain End-to-End Dialogue Systems—0
Multi-task Learning with Metadata for Music Mood Classification—0
Multi-task learning on the edge: cost-efficiency and theoretical optimalityCode0
ALL-IN-ONE: Multi-Task Learning BERT models for Evaluating Peer Assessments—0
Generalized Scene Classification from Small-Scale Datasets with Multi-Task LearningCode0
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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