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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2851–2875 of 3687 papers

TitleStatusHype
Recognition of Advertisement Emotions with Application to Computational Advertising—0
Acoustic-to-articulatory Speech Inversion with Multi-task Learning—0
A convex optimization formulation for multivariate regression—0
A multi-task learning-based optimization approach for finding diverse sets of material microstructures with desired properties and its application to texture optimization—0
Recovery of simultaneous low rank and two-way sparse coefficient matrices, a nonconvex approach—0
Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations—0
Recurrent Interaction Network for Jointly Extracting Entities andClassifying Relations—0
Recurrent Neural Network for Text Classification with Multi-Task Learning—0
Reevaluating Argument Component Extraction in Low Resource Settings—0
Re-examining Routing Networks for Multi-task Learning—0
Reflective Fiber Faults Detection and Characterization Using Long-Short-Term Memory—0
A Convex Formulation for Learning Task Relationships in Multi-Task Learning—0
UniMelb at SemEval-2018 Task 12: Generative Implication using LSTMs, Siamese Networks and Semantic Representations with Synonym Fuzzing—0
A Multi-task Learning Balanced Attention Convolutional Neural Network Model for Few-shot Underwater Acoustic Target Recognition—0
Region-based Convolution Neural Network Approach for Accurate Segmentation of Pelvic Radiograph—0
XLTime: A Cross-Lingual Knowledge Transfer Framework for Zero-Shot Low-Resource Language Temporal Expression Extraction—0
Regression or classification? Automated Essay Scoring for Norwegian—0
Regularising NARX models with multi-task learning—0
Regularization Shortcomings for Continual Learning—0
Regularization Through Simultaneous Learning: A Case Study on Plant Classification—0
Regularized Multi-Task Learning for Multi-Dimensional Log-Density Gradient Estimation—0
Regularizing Autoencoder-Based Matrix Completion Models via Manifold Learning—0
A Multi-task Learning Approach to Adapting Bilingual Word Embeddings for Cross-lingual Named Entity Recognition—0
Regularizing disparity estimation via multi task learning with structured light reconstruction—0
A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Framework—0
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All datasetsQM9Cityscapes testNYUv2OMNIGLOTCelebAUTKFacewireframe dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PCGrad∆m%125.7—Unverified
2CAGrad∆m%112.8—Unverified
3IMTL-G∆m%77.2—Unverified
4Nash-MTL∆m%62—Unverified
5BayesAgg-MTL∆m%53.7—Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLmIoU76.41—Unverified
2Nash-MTLmIoU75.41—Unverified
3MultiObjectiveOptimizationmIoU66.63—Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLMean IoU58.14—Unverified
2Nash-MTLMean IoU40.13—Unverified
#ModelMetricClaimedVerifiedStatus
1Gumbel-Matrix RoutingAverage Accuracy93.52—Unverified
2Mixture-of-ExpertsAverage Accuracy92.19—Unverified
#ModelMetricClaimedVerifiedStatus
1MGDA-UBError8.25—Unverified
#ModelMetricClaimedVerifiedStatus
1BayesAgg-MTLdelta_m-2.23—Unverified
#ModelMetricClaimedVerifiedStatus
1LETRFH83.3—Unverified