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 3226–3250 of 3687 papers

TitleStatusHype
Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images—0
Semi-Supervised Learning for Neural Keyphrase Generation—0
Multi-Task Learning for Sequence Tagging: An Empirical Study—0
Learning to Represent Bilingual DictionariesCode0
DeePathology: Deep Multi-Task Learning for Inferring Molecular Pathology from Cancer TranscriptomeCode0
Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning—0
Seq2Seq and Multi-Task Learning for joint intent and content extraction for domain specific interpreters—0
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
Learning What to Share: Leaky Multi-Task Network for Text Classification—0
Document-level Multi-aspect Sentiment Classification by Jointly Modeling Users, Aspects, and Overall RatingsCode0
Killing Four Birds with Two Stones: Multi-Task Learning for Non-Literal Language DetectionCode0
Can You Spot the Semantic Predicate in this Video?—0
Low-Latency Neural Speech Translation—0
They Exist! Introducing Plural Mentions to Coreference Resolution and Entity LinkingCode0
Modeling with Recurrent Neural Networks for Open Vocabulary Slots—0
Emotion Detection and Classification in a Multigenre Corpus with Joint Multi-Task Deep Learning—0
Rank and Rate: Multi-task Learning for Recommender Systems—0
Scalable Multi-Task Gaussian Process Tensor Regression for Normative Modeling of Structured Variation in Neuroimaging Data—0
Deep Belief Networks Based Feature Generation and Regression for Predicting Wind Power—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
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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