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

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Showing 2676–2700 of 3687 papers

TitleStatusHype
MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy for Multi-Task Learning—0
Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art—0
Multi-Objective Meta Learning—0
Multi-Order Networks for Action Unit Detection—0
MultiPA: A Multi-task Speech Pronunciation Assessment Model for Open Response Scenarios—0
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning—0
Multiple Face Analyses through Adversarial Learning—0
Multi-Receiver Task-Oriented Communications via Multi-Task Deep Learning—0
Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering—0
Multi-scale Feature Enhancement in Multi-task Learning for Medical Image Analysis—0
Multi-Scale Graph Learning for Anti-Sparse Downscaling—0
Multi-Scale User Behavior Network for Entire Space Multi-Task Learning—0
Multi-script Handwritten Digit Recognition Using Multi-task Learning—0
Alternate Intermediate Conditioning with Syllable-level and Character-level Targets for Japanese ASR—0
Multi-Stage Prediction Networks for Data Harmonization—0
Multi-Target Prediction: A Unifying View on Problems and Methods—0
Multi-Target Regression via Input Space Expansion: Treating Targets as Inputs—0
Multi-Task Active Learning for Neural Semantic Role Labeling on Low Resource Conversational Corpus—0
Multi-task additive models with shared transfer functions based on dictionary learning—0
Multi-Task and Multi-Modal Learning for RGB Dynamic Gesture Recognition—0
Multi-Task and Transfer Learning for Federated Learning Applications—0
Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification—0
Multi-Task Averaging—0
Multi-task Bias-Variance Trade-off Through Functional Constraints—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