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 1801–1825 of 3687 papers

TitleStatusHype
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
UniSpeech-SAT: Universal Speech Representation Learning with Speaker Aware Pre-TrainingCode1
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
Generalized Scene Classification from Small-Scale Datasets with Multi-Task LearningCode0
ALL-IN-ONE: Multi-Task Learning BERT models for Evaluating Peer Assessments—0
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based RecommendationCode1
StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech SynthesisCode1
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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