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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 1151–1175 of 3687 papers

TitleStatusHype
Ask the GRU: Multi-Task Learning for Deep Text Recommendations—0
A Literature Review of Keyword Spotting Technologies for Urdu—0
Cross-Task Attention Network: Improving Multi-Task Learning for Medical Imaging Applications—0
Aligned Multi-Task Gaussian Process—0
A Single-Shot Arbitrarily-Shaped Text Detector based on Context Attended Multi-Task Learning—0
Adaptive Smoothed Online Multi-Task Learning—0
Cross-Sentence N-ary Relation Extraction with Graph LSTMs—0
A Simple General Approach to Balance Task Difficulty in Multi-Task Learning—0
Gradient Adversarial Training of Neural Networks—0
Cross-modal Multi-task Learning for Graphic Recognition of Caricature Face—0
Cross-modal Deep Metric Learning with Multi-task Regularization—0
Cross-Modal ASR Post-Processing System for Error Correction and Utterance Rejection—0
Cross-Lingual Text-to-Speech Using Multi-Task Learning and Speaker Classifier Joint Training—0
A Semi-supervised Multi-task Learning Approach to Classify Customer Contact Intents—0
Aligned Multi Objective Optimization—0
Cross-lingual Sentence Embedding using Multi-Task Learning—0
Cross Lingual Cross Corpus Speech Emotion Recognition—0
A Self-Supervised Task for Fault Detection in Satellite Multivariate Time Series—0
A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning—0
Cross-domain Named Entity Recognition via Graph Matching—0
Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks—0
Adaptive Scheduling for Multi-Task Learning—0
GPPF: A General Perception Pre-training Framework via Sparsely Activated Multi-Task Learning—0
Cross-connected Networks for Multi-task Learning of Detection and Segmentation—0
Dual-Balancing for Multi-Task Learning—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