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 2651–2675 of 3687 papers

TitleStatusHype
Multi-head Span-based Detector for AI-generated Fragments in Scientific Papers—0
Multi-Label Compound Expression Recognition: C-EXPR Database & Network—0
Multi-label Multi-task Deep Learning for Behavioral Coding—0
Multi-Label Transfer Learning for Multi-Relational Semantic Similarity—0
Multi-level Emotion Cause Analysis by Multi-head Attention Based Multi-task Learning—0
Multi-level Shared Knowledge Guided Learning for Knowledge Graph Completion—0
Multilingual Joint Parsing of Syntactic and Semantic Dependencies with a Latent Variable Model—0
Multilingual Negation Scope Resolution for Clinical Text—0
Multilingual Speech Recognition for Low-Resource Indian Languages using Multi-Task conformer—0
Multilingual Speech Translation with Unified Transformer: Huawei Noah's Ark Lab at IWSLT 2021—0
Multilingual Speech Translation with Unified Transformer: Huawei Noah’s Ark Lab at IWSLT 2021—0
Multilingual Text Classification for Dravidian Languages—0
Multilingual Transfer Learning for Code-Switched Language and Speech Neural Modeling—0
MultiLoRA: Democratizing LoRA for Better Multi-Task Learning—0
Multi-Loss Sub-Ensembles for Accurate Classification with Uncertainty Estimation—0
MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization—0
Multi-Modal Aesthetic Assessment for MObile Gaming Image—0
Multimodal Assessment of Classroom Discourse Quality: A Text-Centered Attention-Based Multi-Task Learning Approach—0
Multi-modal embeddings using multi-task learning for emotion recognition—0
Multi-modal Face Pose Estimation with Multi-task Manifold Deep Learning—0
HiMAL: A Multimodal Hierarchical Multi-task Auxiliary Learning framework for predicting and explaining Alzheimer disease progression—0
Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph—0
Multimodal Mixture of Low-Rank Experts for Sentiment Analysis and Emotion Recognition—0
Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning—0
MultiNet: Multi-Modal Multi-Task Learning for Autonomous Driving—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