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 3201–3225 of 3687 papers

TitleStatusHype
Cycle-Consistent Speech Enhancement—0
Multi-Expert Gender Classification on Age Group by Integrating Deep Neural Networks—0
Copenhagen at CoNLL--SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding—0
End-to-end Multimodal Emotion and Gender Recognition with Dynamic Joint Loss WeightsCode0
Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States—0
Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation—0
Generative Domain-Migration Hashing for Sketch-to-Image RetrievalCode0
Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading—0
A Unified Mammogram Analysis Method via Hybrid Deep SupervisionCode0
Retrieve-and-Read: Multi-task Learning of Information Retrieval and Reading Comprehension—0
Learning End-to-end Autonomous Driving using Guided Auxiliary SupervisionCode0
Correlated Time Series Forecasting using Deep Neural Networks: A Summary of Results—0
What can we learn from Semantic Tagging?—0
Replay spoofing detection system for automatic speaker verification using multi-task learning of noise classes—0
Migrating Knowledge between Physical Scenarios based on Artificial Neural Networks—0
Beyond expectation: Deep joint mean and quantile regression for spatio-temporal problemsCode1
Learning behavioral context recognition with multi-stream temporal convolutional networks—0
Analyzing Learned Representations of a Deep ASR Performance Prediction Model—0
Exploring Shared Structures and Hierarchies for Multiple NLP Tasks—0
Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images—0
CentralNet: a Multilayer Approach for Multimodal FusionCode1
Semi-Supervised Learning for Neural Keyphrase Generation—0
Multi-Task Learning for Sequence Tagging: An Empirical Study—0
Learning to Represent Bilingual DictionariesCode0
Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer 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