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 1626–1650 of 3687 papers

TitleStatusHype
Joint Modelling of Emotion and Abusive Language Detection—0
Jacobian Descent for Multi-Objective Optimization—0
Deep Multi-task Multi-label CNN for Effective Facial Attribute Classification—0
"It's a Match!" -- A Benchmark of Task Affinity Scores for Joint Learning—0
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution—0
Deep Multi-Task Models for Misogyny Identification and Categorization on Arabic Social Media—0
A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining—0
A Multi-task Event and Argument Trigger Detection in Hindi using POS Tagging as an Auxiliary Task—0
Joint quantile regression in vector-valued RKHSs—0
ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest—0
Joint Scheduling of Causal Prompts and Tasks for Multi-Task Learning—0
ISS-MULT: Intelligent Sample Selection for Multi-Task Learning in Question Answering—0
Joint Sensing and Semantic Communications with Multi-Task Deep Learning—0
Deep Multi-Task Model for Sarcasm Detection and Sentiment Analysis in Arabic Language—0
Joint Surgical Gesture and Task Classification with Multi-Task and Multimodal Learning—0
Is Multi-Task Learning an Upper Bound for Continual Learning?—0
Joint tone mapping and denoising of thermal infrared images via multi-scale Retinex and multi-task learning—0
Deep Multi-Task Learning with Shared Memory for Text Classification—0
ISAM-MTL: Cross-subject multi-task learning model with identifiable spikes and associative memory networks—0
Deep Multi-Task Learning with Shared Memory—0
IQFM A Wireless Foundational Model for I/Q Streams in AI-Native 6G—0
iPINNs: Incremental learning for Physics-informed neural networks—0
Deep multi-task learning with low level tasks supervised at lower layers—0
A Unified Framework for Structured Low-rank Matrix Learning—0
A multi-task deep learning model for the classification of Age-related Macular Degeneration—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