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 401425 of 3687 papers

TitleStatusHype
SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural NetworksCode1
MultiOpEd: A Corpus of Multi-Perspective News EditorialsCode1
Adjacency List Oriented Relational Fact Extraction via Adaptive Multi-task LearningCode1
Few-shot Knowledge Graph-to-Text Generation with Pretrained Language ModelsCode1
A Unified Span-Based Approach for Opinion Mining with Syntactic ConstituentsCode1
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving GeneralizationCode1
CoTexT: Multi-task Learning with Code-Text TransformerCode1
Learning to Relate Depth and Semantics for Unsupervised Domain AdaptationCode1
You Only Learn One Representation: Unified Network for Multiple TasksCode1
SpeechNet: A Universal Modularized Model for Speech Processing TasksCode1
Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential EquationsCode1
T2NER: Transformers based Transfer Learning Framework for Named Entity RecognitionCode1
A Multi-Task Deep Learning Framework for Building Footprint SegmentationCode1
Graph-based Person Signature for Person Re-IdentificationsCode1
ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation LearningCode1
CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance ComputingCode1
Annotating Columns with Pre-trained Language ModelsCode1
Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit RepresentationsCode1
An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure SystemsCode1
Target Speaker Verification with Selective Auditory Attention for Single and Multi-talker SpeechCode1
CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation SystemsCode1
Copolymer Informatics with Multi-Task Deep Neural NetworksCode1
Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and ArticlesCode1
RotoGrad: Gradient Homogenization in Multitask LearningCode1
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning FrameworkCode1
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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