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

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Showing 2051–2100 of 3687 papers

TitleStatusHype
Efficient and robust multi-task learning in the brain with modular latent primitives—0
Spatio-Temporal Dual Graph Neural Networks for Travel Time Estimation—0
Clustered Federated Learning via Generalized Total Variation MinimizationCode0
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving GeneralizationCode1
Multi-Task Learning of Generation and Classification for Emotion-Aware Dialogue Response Generation—0
Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of Supervised AttentionCode0
De-identification of Privacy-related Entities in Job PostingsCode0
DaN+: Danish Nested Named Entities and Lexical NormalizationCode0
RotoGrad: Gradient Homogenization in Multi-Task Learning—0
Puck localization and multi-task event recognition in broadcast hockey videos—0
CoTexT: Multi-task Learning with Code-Text TransformerCode1
Non-contact Pain Recognition from Video Sequences with Remote Physiological Measurements Prediction—0
Dependent Multi-Task Learning with Causal Intervention for Image Captioning—0
Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display AdvertisingCode2
Deep Multistage Multi-Task Learning for Quality Prediction of Multistage Manufacturing Systems—0
MUSER: MUltimodal Stress Detection using Emotion Recognition as an Auxiliary Task—0
Graph Neural Networks for Knowledge Enhanced Visual Representation of Paintings—0
Learning to Relate Depth and Semantics for Unsupervised Domain AdaptationCode1
Stable and Effective One-Step Method for Person Search—0
Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation—0
OCHADAI-KYOTO at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity Prediction—0
Development of a Multi-Task Learning V-Net for Pulmonary Lobar Segmentation on Computed Tomography and Application to Diseased Lungs—0
Differentially Private Transferrable Deep Learning with Membership-Mappings—0
You Only Learn One Representation: Unified Network for Multiple TasksCode1
Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study—0
SpeechNet: A Universal Modularized Model for Speech Processing TasksCode1
Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer—0
Nonparametric Trace Regression in High Dimensions via Sign Series Representation—0
Scaling End-to-End Models for Large-Scale Multilingual ASR—0
Out-of-Scope Domain and Intent Classification through Hierarchical Joint ModelingCode0
Segmentation-grounded Scene Graph Generation—0
Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential EquationsCode1
Multi-Task Learning of Query Intent and Named Entities using Transfer Learning—0
Communication-Efficient and Personalized Federated Lottery Ticket Learning—0
Multi-Task Learning for End-to-End ASR Word and Utterance Confidence with Deletion Prediction—0
Weakly Supervised Multi-task Learning for Concept-based Explainability—0
T2NER: Transformers based Transfer Learning Framework for Named Entity RecognitionCode1
Weakly-supervised Multi-task Learning for Multimodal Affect Recognition—0
Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention—0
Multi-task Semi-supervised Learning for Pulmonary Lobe Segmentation—0
Multi-task Learning with Attention for End-to-end Autonomous Driving—0
MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor Based on Multi-Task Adversarial Training—0
Efficient Retrieval Optimized Multi-task Learning—0
Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction—0
WASSA@IITK at WASSA 2021: Multi-task Learning and Transformer Finetuning for Emotion Classification and Empathy Prediction—0
LaTeX-Numeric: Language-agnostic Text attribute eXtraction for E-commerce Numeric Attributes—0
Multi-target prediction for dummies using two-branch neural networks—0
A Multi-Task Deep Learning Framework for Building Footprint SegmentationCode1
Deep Latent Emotion Network for Multi-Task Learning—0
Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priors—0
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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