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 1276–1300 of 3687 papers

TitleStatusHype
MTRec: Multi-Task Learning over BERT for News RecommendationCode0
Graph Neural Networks for Surfactant Multi-Property PredictionCode0
Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncodersCode0
Graph Star Net for Generalized Multi-Task LearningCode0
CALM: Consensus-Aware Localized Merging for Multi-Task LearningCode0
Graph-based Knowledge Distillation by Multi-head Attention NetworkCode0
Byzantine Resilient Distributed Multi-Task LearningCode0
GradCraft: Elevating Multi-task Recommendations through Holistic Gradient CraftingCode0
Learning Interpretable Microscopic Features of Tumor by Multi-task Adversarial CNNs To Improve GeneralizationCode0
Learning a Repression Network for Precise Vehicle SearchCode0
Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma ClassificationCode0
Multilingual Hierarchical Attention Networks for Document ClassificationCode0
Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings—0
Emotion Recognition with Incomplete Labels Using Modified Multi-task Learning Technique—0
Building a Multivariate Time Series Benchmarking Datasets Inspired by Natural Language Processing (NLP)—0
An Attention-Driven Approach of No-Reference Image Quality Assessment—0
Emotion Detection and Classification in a Multigenre Corpus with Joint Multi-Task Deep Learning—0
BS-PLCNet: Band-split Packet Loss Concealment Network with Multi-task Learning Framework and Multi-discriminators—0
Aerodynamic Data Predictions Based on Multi-task Learning—0
Emerging Relation Network and Task Embedding for Multi-Task Regression Problems—0
Bringing Semantic Structures to User Intent Detection in Online Medical Queries—0
Embracing the Disharmony in Medical Imaging: A Simple and Effective Framework for Domain Adaptation—0
Embedding Time Differences in Context-sensitive Neural Networks for Learning Time to Event—0
Brighten-and-Colorize: A Decoupled Network for Customized Low-Light Image Enhancement—0
Anatomy-Aware Lymph Node Detection in Chest CT using Implicit Station Stratification—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