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 3051–3075 of 3687 papers

TitleStatusHype
SequencePAR: Understanding Pedestrian Attributes via A Sequence Generation Paradigm—0
Using multi-task learning to improve the performance of acoustic-to-word and conventional hybrid models—0
Sequential Multi-task Learning with Task Dependency for Appeal Judgment Prediction—0
Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation—0
Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels—0
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning—0
ALIEN: Implicit Neural Representations for Human Motion Prediction under Arbitrary Latency—0
SE Territory: Monaural Speech Enhancement Meets the Fixed Virtual Perceptual Space Mapping—0
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events—0
SGCL: Unifying Self-Supervised and Supervised Learning for Graph Recommendation—0
SGW-based Multi-Task Learning in Vision Tasks—0
Shared and Private Information Learning in Multimodal Sentiment Analysis with Deep Modal Alignment and Self-supervised Multi-Task Learning—0
Sharing to learn and learning to share; Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning: A meta review—0
"Sharks are not the threat humans are": Argument Component Segmentation in School Student Essays—0
“Sharks are not the threat humans are”: Argument Component Segmentation in School Student Essays—0
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers—0
Sharper Risk Bound for Multi-Task Learning with Multi-Graph Dependent Data—0
SHEAR-net: An End-to-End Deep Learning Approach for Single Push Ultrasound Shear Wave Elasticity Imaging—0
SHEF-Lite 2.0: Sparse Multi-task Gaussian Processes for Translation Quality Estimation—0
Short-term passenger flow prediction for multi-traffic modes: A Transformer and residual network based multi-task learning method—0
AlexU-AIC at Arabic Hate Speech 2022: Contrast to Classify—0
Sieg at MEDIQA 2019: Multi-task Neural Ensemble for Biomedical Inference and Entailment—0
Sign-regularized Multi-task Learning—0
SIMAC: A Semantic-Driven Integrated Multimodal Sensing And Communication Framework—0
Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning—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