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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

Showing 426450 of 3687 papers

TitleStatusHype
Evaluating Logical Generalization in Graph Neural NetworksCode1
BoIR: Box-Supervised Instance Representation for Multi-Person Pose EstimationCode1
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and ClassificationCode1
Explain and Predict, and then Predict AgainCode1
Exploiting Learnable Joint Groups for Hand Pose EstimationCode1
BioREx: Improving Biomedical Relation Extraction by Leveraging Heterogeneous DatasetsCode1
EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNINGCode1
Grounding Psychological Shape Space in Convolutional Neural NetworksCode1
Open-Domain Frame Semantic Parsing Using TransformersCode1
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic EnvironmentsCode1
AV-RIR: Audio-Visual Room Impulse Response EstimationCode1
A Multi-Task Learning Framework for Multi-Target Stance DetectionCode1
Extraction of cropland field parcels with high resolution remote sensing using multi-task learningCode1
GS-Phong: Meta-Learned 3D Gaussians for Relightable Novel View SynthesisCode1
FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User HeterogeneityCode1
A Multi-task Learning Framework for Opinion Triplet ExtractionCode1
Fair Resource Allocation in Multi-Task LearningCode1
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language ModelsCode1
GRANITE: A Graph Neural Network Model for Basic Block Throughput EstimationCode1
Feature Decomposition for Reducing Negative Transfer: A Novel Multi-task Learning Method for Recommender SystemCode1
Peeking into the Future: Predicting Future Person Activities and Locations in VideosCode1
Graph-based Person Signature for Person Re-IdentificationsCode1
An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure SystemsCode1
Few-shot Knowledge Graph-to-Text Generation with Pretrained Language ModelsCode1
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual ModelsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PCGrad∆m%125.7Unverified
2CAGrad∆m%112.8Unverified
3IMTL-G∆m%77.2Unverified
4Nash-MTL∆m%62Unverified
5BayesAgg-MTL∆m%53.7Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLmIoU76.41Unverified
2Nash-MTLmIoU75.41Unverified
3MultiObjectiveOptimizationmIoU66.63Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLMean IoU58.14Unverified
2Nash-MTLMean IoU40.13Unverified
#ModelMetricClaimedVerifiedStatus
1Gumbel-Matrix RoutingAverage Accuracy93.52Unverified
2Mixture-of-ExpertsAverage Accuracy92.19Unverified
#ModelMetricClaimedVerifiedStatus
1MGDA-UBError8.25Unverified
#ModelMetricClaimedVerifiedStatus
1BayesAgg-MTLdelta_m-2.23Unverified
#ModelMetricClaimedVerifiedStatus
1LETRFH83.3Unverified