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 1401–1425 of 3687 papers

TitleStatusHype
Neural Sculpting: Uncovering hierarchically modular task structure in neural networks through pruning and network analysisCode0
A Match Made in Heaven: A Multi-task Framework for Hyperbole and Metaphor DetectionCode0
Understanding Emotion Valence is a Joint Deep Learning Task—0
DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning—0
Adversarial Multi-task Learning for End-to-end Metaphor DetectionCode0
Coping with low data availability for social media crisis message categorisation—0
VioLA: Unified Codec Language Models for Speech Recognition, Synthesis, and Translation—0
Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network CompressionCode0
IBCL: Zero-shot Model Generation for Task Trade-offs in Continual LearningCode0
Advances and Challenges of Multi-task Learning Method in Recommender System: A Survey—0
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLPCode0
Regularization Through Simultaneous Learning: A Case Study on Plant Classification—0
Transferring Fairness using Multi-Task Learning with Limited Demographic Information—0
TaskWeb: Selecting Better Source Tasks for Multi-task NLPCode0
DCCRN-KWS: an audio bias based model for noise robust small-footprint keyword spotting—0
Multi-Task Models Adversarial AttacksCode0
A New Benchmark of Aphasia Speech Recognition and Detection Based on E-Branchformer and Multi-task Learning—0
A Multi-Task Learning Framework for Sound Event Detection using High-level Acoustic Characteristics of Sounds—0
Instruction Tuned Models are Quick LearnersCode0
Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization—0
Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate SequencesCode0
When is an SHM problem a Multi-Task-Learning problem?—0
Multi-task convolutional neural network for image aesthetic assessment—0
Shared and Private Information Learning in Multimodal Sentiment Analysis with Deep Modal Alignment and Self-supervised Multi-Task Learning—0
Helping Visually Impaired People Take Better Quality PicturesCode0
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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