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 31263150 of 3687 papers

TitleStatusHype
Spatial-temporal Multi-Task Learning for Within-field Cotton Yield Prediction0
Efficient and Scalable Multi-task Regression on Massive Number of Tasks0
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic TasksCode0
MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property PredictionCode0
Multi-task learning for Joint Language Understanding and Dialogue State Tracking0
Co-Representation Learning For Classification and Novel Class Detection via Deep Networks0
A Multi-Task Learning & Generation Framework: Valence-Arousal, Action Units & Primary Expressions0
Transformative Machine Learning0
Multi-Task Graph AutoencodersCode0
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary NetworksCode0
Off-the-Shelf Unsupervised NMT0
Leveraging Weakly Supervised Data to Improve End-to-End Speech-to-Text Translation0
Learning Shared Dynamics with Meta-World Models0
Improving Span-based Question Answering Systems with Coarsely Labeled Data0
Linguistic representations in multi-task neural networks for ellipsis resolution0
PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation ProjectionCode0
Investigating NP-Chunking with Universal Dependencies for English0
Explicitly modeling case improves neural dependency parsing0
When does deep multi-task learning work for loosely related document classification tasks?0
Team SWEEPer: Joint Sentence Extraction and Fact Checking with Pointer Networks0
An End-to-End Multi-task Learning Model for Fact Checking0
Universal Sentence Encoder for English0
Language-Independent Representor for Neural Machine Translation0
Latent Variable Model for Multi-modal TranslationCode0
Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning0
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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