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 1651–1675 of 3687 papers

TitleStatusHype
Is Multi-Task Learning an Upper Bound for Continual Learning?—0
Keeping Consistency of Sentence Generation and Document Classification with Multi-Task Learning—0
Deep Multi-Task Learning with Shared Memory for Text Classification—0
Kernel-based Multi-Task Contextual Bandits in Cellular Network Configuration—0
Keypoint-Aligned Embeddings for Image Retrieval and Re-identification—0
Keyword Spotting for Hearing Assistive Devices Robust to External Speakers—0
ISAM-MTL: Cross-subject multi-task learning model with identifiable spikes and associative memory networks—0
K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning—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
Knowledge Assembly: Semi-Supervised Multi-Task Learning from Multiple Datasets with Disjoint Labels—0
Knowledge Aware Emotion Recognition in Textual Conversations via Multi-Task Incremental Transformer—0
Knowledge Base Completion via Coupled Path Ranking—0
A multi-task deep learning model for the classification of Age-related Macular Degeneration—0
A Diffusion-based Method for Multi-turn Compositional Image Generation—0
Investigating the Role of Argumentation in the Rhetorical Analysis of Scientific Publications with Neural Multi-Task Learning Models—0
Deep Multi-Task Learning via Generalized Tensor Trace Norm—0
Investigating the effect of auxiliary objectives for the automated grading of learner English speech transcriptions—0
Knowledge-Interactive Network with Sentiment Polarity Intensity-Aware Multi-Task Learning for Emotion Recognition in Conversations—0
Investigating NP-Chunking with Universal Dependencies for English—0
Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States—0
Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks—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