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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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3451–3475 of 3687 papers

TitleStatusHype
Fine-Tuning Language Models on Multiple Datasets for Citation Intention ClassificationCode0
A Concise Model for Multi-Criteria Chinese Word Segmentation with Transformer EncoderCode0
ANA at SemEval-2020 Task 4: mUlti-task learNIng for cOmmonsense reasoNing (UNION)Code0
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and ClassificationCode0
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy ConstraintsCode0
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender SystemsCode0
Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and RegressionCode0
Domain Generalization of 3D Object Detection by Density-ResamplingCode0
Fine-grained Urban Flow Inference with Incomplete DataCode0
Domain Aware Multi-Task Pretraining of 3D Swin Transformer for T1-weighted Brain MRICode0
Semi-supervised Domain Adaptation for Dependency ParsingCode0
UniGDD: A Unified Generative Framework for Goal-Oriented Document-Grounded DialogueCode0
Document-level Multi-aspect Sentiment Classification by Jointly Modeling Users, Aspects, and Overall RatingsCode0
Multi-grained Label Refinement Network with Dependency Structures for Joint Intent Detection and Slot FillingCode0
Fine-Grained Emotion Prediction by Modeling Emotion DefinitionsCode0
Multi-head Sequence Tagging Model for Grammatical Error CorrectionCode0
Table Transformers for Imputing Textual AttributesCode0
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised LearningCode0
Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time-Series ForecastCode0
A Unified Mammogram Analysis Method via Hybrid Deep SupervisionCode0
Transfer and Multi-Task Learning for Noun-Noun Compound InterpretationCode0
D-NET: A Pre-Training and Fine-Tuning Framework for Improving the Generalization of Machine Reading ComprehensionCode0
Multilingual Hierarchical Attention Networks for Document ClassificationCode0
Semi-supervised Multi-task Learning for Multi-label Fine-grained Sexism ClassificationCode0
UniGenCoder: Merging Seq2Seq and Seq2Tree Paradigms for Unified Code GenerationCode0
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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