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 2851–2875 of 3687 papers

TitleStatusHype
Multi-Dimensional Explanation of Target Variables from Documents—0
Adversarial Inductive Transfer Learning with input and output space adaptation—0
Mint: Matrix-Interleaving for Multi-Task Learning—0
Temporal Probabilistic Asymmetric Multi-task Learning—0
Task-Based Top-Down Modulation Network for Multi-Task-Learning Applications—0
A multi-task U-net for segmentation with lazy labels—0
Learning A Unified Named Entity Tagger From Multiple Partially Annotated Corpora For Efficient AdaptationCode0
Learning to Transfer via Modelling Multi-level Task Dependency—0
Handwritten Amharic Character Recognition Using a Convolutional Neural Network—0
Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement LearningCode0
Empirical Analysis of Multi-Task Learning for Reducing Model Bias in Toxic Comment Detection—0
Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity—0
Meta-NeighborhoodsCode0
Leveraging User Engagement Signals For Entity Labeling in a Virtual Assistant—0
Exploring Reciprocal Attention for Salient Object Detection by Cooperative Learning—0
Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning—0
Multi-Task Learning for Automotive Foggy Scene Understanding via Domain Adaptation to an Illumination-Invariant Representation—0
Bridging the Gap between Pre-Training and Fine-Tuning for End-to-End Speech Translation—0
Pose Neural Fabrics SearchCode0
A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning—0
Progression Modelling for Online and Early Gesture DetectionCode0
Semantic Structure Extraction for Spreadsheet Tables with a Multi-task Learning Architecture—0
Neural Correction Model for Open-Domain Named Entity RecognitionCode0
Adaptive Scheduling for Multi-Task Learning—0
Multitask Classification and Segmentation for Cancer Diagnosis in Mammography—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