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 3101–3125 of 3687 papers

TitleStatusHype
Location-Centered House Price Prediction: A Multi-Task Learning Approach—0
Speaker Adaptation for End-to-End CTC Models—0
Relative Geometry-Aware Siamese Neural Network for 6DOF Camera Relocalization—0
A Distance Map Regularized CNN for Cardiac Cine MR Image Segmentation—0
Image Aesthetic Assessment Assisted by Attributes through Adversarial LearningCode0
An Active Learning Framework for Efficient Robust Policy Search—0
A neural joint model for Vietnamese word segmentation, POS tagging and dependency parsing—0
Multi-task Prediction of Patient Workload—0
CNN based Multi-Instance Multi-Task Learning for Syndrome Differentiation of Diabetic Patients—0
Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling—0
Multi-task learning to improve natural language understanding—0
Multi-Tasking Genetic Algorithm (MTGA) for Fuzzy System OptimizationCode0
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and NormalizationCode0
Identity-Enhanced Network for Facial Expression Recognition—0
Intelligent optical performance monitor using multi-task learning based artificial neural network—0
A Deep Multi-task Learning Approach to Skin Lesion Classification—0
To Reverse the Gradient or Not: An Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition—0
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question AnsweringCode0
Multi-task Learning of Hierarchical Vision-Language Representation—0
A multi-task deep learning model for the classification of Age-related Macular Degeneration—0
Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual DetectionCode0
Two-level Attention with Two-stage Multi-task Learning for Facial Emotion Recognition—0
On the Transferability of Representations in Neural Networks Between Datasets and Tasks—0
Using deep learning to predict soil properties from regional spectral data—0
On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition—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