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 476500 of 3687 papers

TitleStatusHype
Toward Micro-Dialect Identification in Diaglossic and Code-Switched EnvironmentsCode1
Learning the Pareto Front with HypernetworksCode1
Improving AMR Parsing with Sequence-to-Sequence Pre-trainingCode1
A Multi-task Learning Framework for Opinion Triplet ExtractionCode1
MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive ScaleCode1
RRPN++: Guidance Towards More Accurate Scene Text DetectionCode1
Label-Efficient Multi-Task Segmentation using Contrastive LearningCode1
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less DataCode1
Multi-Loss Weighting with Coefficient of VariationsCode1
A Survey on Negative TransferCode1
Multi-Task Learning for Interpretable Weakly Labelled Sound Event DetectionCode1
MultiCheXNet: A Multi-Task Learning Deep Network For Pneumonia-like Diseases Diagnosis From X-ray ScansCode1
PlugNet: Degradation Aware Scene Text Recognition Supervised by a Pluggable Super-Resolution UnitCode1
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task InterferenceCode1
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series DataCode1
Knowledge Distillation for Multi-task LearningCode1
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language ModelsCode1
Learning to Segment from Scribbles using Multi-scale Adversarial Attention GatesCode1
Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment AnalysisCode1
CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of ModalityCode1
Efficient Continuous Pareto Exploration in Multi-Task LearningCode1
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task LearningCode1
Improving Image Captioning with Better Use of CaptionsCode1
When Does Self-Supervision Help Graph Convolutional Networks?Code1
Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based RecommendationCode1
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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