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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 33513400 of 3687 papers

TitleStatusHype
Trace Norm Regularised Deep Multi-Task LearningCode0
GradCraft: Elevating Multi-task Recommendations through Holistic Gradient CraftingCode0
Trace norm regularization for multi-task learning with scarce dataCode0
MMM: Multi-stage Multi-task Learning for Multi-choice Reading ComprehensionCode0
Scaling Manipulation Learning with Visual Kinematic Chain PredictionCode0
OmniNet: A unified architecture for multi-modal multi-task learningCode0
Multi-Task Models Adversarial AttacksCode0
Glyce: Glyph-vectors for Chinese Character RepresentationsCode0
Giving each task what it needs -- leveraging structured sparsity for tailored multi-task learningCode0
Adversarial Robustness in Multi-Task Learning: Promises and IllusionsCode0
GINTRIP: Interpretable Temporal Graph Regression using Information bottleneck and Prototype-based methodCode0
Scheduled Multi-task Learning for Neural Chat TranslationCode0
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender SystemCode0
Systematic Investigation of Strategies Tailored for Low-Resource Settings for Low-Resource Dependency ParsingCode0
Dynamic Deep Multi-task Learning for Caricature-Visual Face RecognitionCode0
Automatically Generating Chinese Homophone Words to Probe Machine Translation Estimation SystemsCode0
Comparison of single and multitask learning for predicting cognitive decline based on MRI dataCode0
Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health RecordsCode0
GILE: A Generalized Input-Label Embedding for Text ClassificationCode0
Cross-Silo Heterogeneous Model Federated Multitask LearningCode0
Sebastian, Basti, Wastl?! Recognizing Named Entities in Bavarian Dialectal DataCode0
Sebis at SemEval-2023 Task 7: A Joint System for Natural Language Inference and Evidence Retrieval from Clinical Trial ReportsCode0
Co-evolutionary multi-task learning for dynamic time series predictionCode0
DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task LearningCode0
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-ExpertsCode0
Geographic Adaptation of Pretrained Language ModelsCode0
DSAF: A Dual-Stage Adaptive Framework for Numerical Weather Prediction DownscalingCode0
SEE: Continual Fine-tuning with Sequential Ensemble of ExpertsCode0
On Identifying Hashtags in Disaster Twitter DataCode0
AnywhereDoor: Multi-Target Backdoor Attacks on Object DetectionCode0
GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian ManifoldsCode0
Model-Protected Multi-Task LearningCode0
Segmentation-Consistent Probabilistic Lesion CountingCode0
Traffic Accident Risk Prediction via Multi-View Multi-Task Spatio-Temporal NetworksCode0
Online Parallel Multi-Task Relationship Learning via Alternating Direction Method of MultipliersCode0
Online Parameter-Free Learning of Multiple Low Variance TasksCode0
On Low-rank Trace Regression under General Sampling DistributionCode0
Dr.VOT : Measuring Positive and Negative Voice Onset Time in the WildCode0
Modular Adaptive Policy Selection for Multi-Task Imitation Learning through Task DivisionCode0
Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-RankingCode0
Generative Domain-Migration Hashing for Sketch-to-Image RetrievalCode0
Generalizing Natural Language Analysis through Span-relation RepresentationsCode0
DROP: Decouple Re-Identification and Human Parsing with Task-specific Features for Occluded Person Re-identificationCode0
MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task LearningCode0
Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple DocumentsCode0
Revisiting Model's Uncertainty and Confidences for Adversarial Example DetectionCode0
On the Automatic Generation of Medical Imaging ReportsCode0
Morphological Segmentation for SenecaCode0
Traffic flow prediction using Deep Sedenion NetworksCode0
DRAGNN: A Transition-based Framework for Dynamically Connected Neural NetworksCode0
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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