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 3651–3675 of 3687 papers

TitleStatusHype
Multi-task Learning for Low-resource Second Language Acquisition ModelingCode0
Private Multi-Task Learning: Formulation and Applications to Federated LearningCode0
Multi-task Learning with Sample Re-weighting for Machine Reading ComprehensionCode0
Solving Label Variation in Scientific Information Extraction via Multi-Task LearningCode0
DeepFL-IQA: Weak Supervision for Deep IQA Feature LearningCode0
Bayesian Meta-Learning for Improving Generalizability of Health Prediction Models With Similar Causal MechanismsCode0
Evolutionary Multi-Task Injection Testing on Web Application FirewallsCode0
Multi-task Learning for Monocular Depth and Defocus Estimations with Real ImagesCode0
CatVRNN: Generating Category Texts via Multi-task LearningCode0
The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer EncodersCode0
Two-Stream Convolutional Networks for Action Recognition in VideosCode0
Progression Modelling for Online and Early Gesture DetectionCode0
Span Extraction Aided Improved Code-mixed Sentiment ClassificationCode0
Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized RecommendationsCode0
Multitask Learning for Network Traffic ClassificationCode0
VOGUE: Answer Verbalization through Multi-Task LearningCode0
Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate SequencesCode0
They Exist! Introducing Plural Mentions to Coreference Resolution and Entity LinkingCode0
Prompt-based Connective Prediction Method for Fine-grained Implicit Discourse Relation RecognitionCode0
Event Causality Identification via Generation of Important Context WordsCode0
Deep CNN-based Multi-task Learning for Open-Set RecognitionCode0
"Think Before You Speak": Improving Multi-Action Dialog Policy by Planning Single-Action DialogsCode0
Prompt Tuning with Soft Context Sharing for Vision-Language ModelsCode0
ESM-NBR: fast and accurate nucleic acid-binding residue prediction via protein language model feature representation and multi-task learningCode0
Multi-Task Learning for Screen Content Image CodingCode0
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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