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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 3326–3350 of 3687 papers

TitleStatusHype
Driving Scene Perception Network: Real-time Joint Detection, Depth Estimation and Semantic Segmentation—0
A Case Study on Context-Aware Neural Machine Translation with Multi-Task Learning—0
Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation—0
Variational Offline Multi-agent Skill Discovery—0
SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection—0
Stability of Multi-Task Kernel Regression Algorithms—0
DSReg: Using Distant Supervision as a Regularizer—0
DT4ECG: A Dual-Task Learning Framework for ECG-Based Human Identity Recognition and Human Activity Detection—0
DTN: Deep Multiple Task-specific Feature Interactions Network for Multi-Task Recommendation—0
Dual-Attention Frequency Fusion at Multi-Scale for Joint Segmentation and Deformable Medical Image Registration—0
Curvature-informed multi-task learning for graph networks—0
Dual-Label Learning With Irregularly Present Labels—0
Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing—0
DUET: Detection Utilizing Enhancement for Text in Scanned or Captured Documents—0
DUT-NLP at MEDIQA 2019: An Adversarial Multi-Task Network to Jointly Model Recognizing Question Entailment and Question Answering—0
A Semi-Self-Supervised Approach for Dense-Pattern Video Object Segmentation—0
Dynamic Adaptive Optimization for Effective Sentiment Analysis Fine-Tuning on Large Language Models—0
Dynamic Adjustment of Matching Radii under the Broadcasting Mode: A Novel Multitask Learning Strategy and Temporal Modeling Approach—0
Dynamically Updating Event Representations for Temporal Relation Classification with Multi-category Learning—0
Stable and Effective One-Step Method for Person Search—0
A Generalized Multi-Task Learning Approach to Stereo DSM Filtering in Urban Areas—0
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification—0
Variation-cognizant Probabilistic Power Flow Analysis via Multi-task Learning—0
Dynamic Neural Network for Multi-Task Learning Searching across Diverse Network Topologies—0
Dynamic Sampling Strategies for Multi-Task Reading Comprehension—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