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

Showing 201225 of 3687 papers

TitleStatusHype
Ditto: Fair and Robust Federated Learning Through PersonalizationCode1
Federated Multi-Task Learning under a Mixture of DistributionsCode1
Few-shot Knowledge Graph-to-Text Generation with Pretrained Language ModelsCode1
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear ModulationCode1
Adjacency List Oriented Relational Fact Extraction via Adaptive Multi-task LearningCode1
Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task ArithmeticCode1
An Effective System for Multi-format Information ExtractionCode1
A Multi-Task Learning Approach to Linear Multivariate ForecastingCode1
GaitFormer: Learning Gait Representations with Noisy Multi-Task LearningCode1
ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classificationCode1
A Knowledge-Enhanced Pretraining Model for Commonsense Story GenerationCode1
Compressed Context Memory For Online Language Model InteractionCode1
Compressed Interaction Graph based Framework for Multi-behavior RecommendationCode1
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine LearningCode1
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series DataCode1
Gradient Surgery for Multi-Task LearningCode1
GRANITE: A Graph Neural Network Model for Basic Block Throughput EstimationCode1
A Multi-Task Learning Framework for Multi-Target Stance DetectionCode1
CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance ComputingCode1
A Multi-task Learning Framework for Opinion Triplet ExtractionCode1
GS-Phong: Meta-Learned 3D Gaussians for Relightable Novel View SynthesisCode1
Hand Image Understanding via Deep Multi-Task LearningCode1
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and GenerationCode1
Combinatorial Optimization Perspective based Framework for Multi-behavior RecommendationCode1
ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text TranslationCode1
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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