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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 3226–3250 of 3687 papers

TitleStatusHype
DeePathology: Deep Multi-Task Learning for Inferring Molecular Pathology from Cancer TranscriptomeCode0
Learning What to Share: Leaky Multi-Task Network for Text Classification—0
Modeling with Recurrent Neural Networks for Open Vocabulary Slots—0
How emotional are you? Neural Architectures for Emotion Intensity Prediction in MicroblogsCode1
Emotion Detection and Classification in a Multigenre Corpus with Joint Multi-Task Deep Learning—0
Document-level Multi-aspect Sentiment Classification by Jointly Modeling Users, Aspects, and Overall RatingsCode0
They Exist! Introducing Plural Mentions to Coreference Resolution and Entity LinkingCode0
Killing Four Birds with Two Stones: Multi-Task Learning for Non-Literal Language DetectionCode0
Cyber-aggression Detection using Cross Segment-and-Concatenate Multi-Task Learning from Text—0
One Size Fits All? A simple LSTM for non-literal token and construction-level classification—0
Can You Spot the Semantic Predicate in this Video?—0
Seq2Seq and Multi-Task Learning for joint intent and content extraction for domain specific interpreters—0
Low-Latency Neural Speech Translation—0
Rank and Rate: Multi-task Learning for Recommender Systems—0
Deep Belief Networks Based Feature Generation and Regression for Predicting Wind Power—0
Scalable Multi-Task Gaussian Process Tensor Regression for Normative Modeling of Structured Variation in Neuroimaging Data—0
AXNet: ApproXimate computing using an end-to-end trainable neural networkCode0
Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency—0
Concurrent Learning of Semantic RelationsCode0
Person re-identification across different datasets with multi-task learning—0
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-ExpertsCode0
Hierarchical Multi Task Learning With CTC—0
A Modulation Module for Multi-task Learning with Applications in Image RetrievalCode0
Neural Chinese Word Segmentation with Dictionary Knowledge—0
Kernel-Based Learning for Smart Inverter Control—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