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
Visual Person Understanding through Multi-Task and Multi-Dataset Learning—0
GCN-based Multi-task Representation Learning for Anomaly Detection in Attributed Networks—0
GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning—0
GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue—0
GEmo-CLAP: Gender-Attribute-Enhanced Contrastive Language-Audio Pretraining for Accurate Speech Emotion Recognition—0
General Embedding vs. Task-Specific Embedding: A Comparative Approach to Enhancing NLP Performance—0
Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency—0
Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning—0
SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-task Learning—0
Syntactic Graph Convolutional Network for Spoken Language Understanding—0
CO-Net: Learning Multiple Point Cloud Tasks at Once with A Cohesive Network—0
Generalized Face Anti-Spoofing via Multi-Task Learning and One-Side Meta Triplet Loss—0
Generalized Jersey Number Recognition Using Multi-task Learning With Orientation-guided Weight Refinement—0
ConceptDistil: Model-Agnostic Distillation of Concept Explanations—0
Syntax-aware Multi-task Graph Convolutional Networks for Biomedical Relation Extraction—0
Generalizing Cooperative Eco-driving via Multi-residual Task Learning—0
Transferring Fairness using Multi-Task Learning with Limited Demographic Information—0
Syntax-Aware Opinion Role Labeling with Dependency Graph Convolutional Networks—0
Generalizing Question Answering System with Pre-trained Language Model Fine-tuning—0
Generalizing Successor Features to continuous domains for Multi-task Learning—0
Generative Adversarial Data Programming—0
Syntax-Informed Interactive Model for Comprehensive Aspect-Based Sentiment Analysis—0
Generative Modeling for Multi-task Visual Learning—0
Generative Modeling for Multitask Visual Learning—0
Generative Modeling of Individual Behavior at Scale—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