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 3176–3200 of 3687 papers

TitleStatusHype
Self-supervised Label Augmentation via Input TransformationsCode0
Leveraging Multi-domain, Heterogeneous Data using Deep Multitask Learning for Hate Speech DetectionCode0
Strong Baselines for Complex Word Identification across Multiple LanguagesCode0
Strong Baselines for Neural Semi-supervised Learning under Domain ShiftCode0
Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First StrategiesCode0
Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuseCode0
A Survey on Multi-Task LearningCode0
CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task LearningCode0
Imbalanced multi-label classification using multi-task learning with extractive summarizationCode0
Leveraging Unit Language Guidance to Advance Speech Modeling in Textless Speech-to-Speech TranslationCode0
A Survey of Generative Information RetrievalCode0
When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer LearningCode0
Lexicon information in neural sentiment analysis: a multi-task learning approachCode0
L-HYDRA: Multi-Head Physics-Informed Neural NetworksCode0
Image Splicing Localization Using A Multi-Task Fully Convolutional Network (MFCN)Code0
XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression ExtractionCode0
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse DomainsCode0
Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and RemovalCode0
Better, Faster, Stronger Sequence Tagging Constituent ParsersCode0
BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task LearningCode0
Understanding Stain Separation Improves Cross-Scanner Adenocarcinoma Segmentation with Joint Multi-Task LearningCode0
BCH-NLP at BioCreative VII Track 3: medications detection in tweets using transformer networks and multi-task learningCode0
LIMIT-BERT : Linguistics Informed Multi-Task BERTCode0
WCEbleedGen: A wireless capsule endoscopy dataset and its benchmarking for automatic bleeding classification, detection, and segmentationCode0
Image Captioning with Clause-Focused Metrics in a Multi-Modal Setting for MarketingCode0
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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