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 2126–2150 of 3687 papers

TitleStatusHype
Complex Question Answering on knowledge graphs using machine translation and multi-task learning—0
Learning Relatedness between Types with Prototypes for Relation ExtractionCode0
ENPAR:Enhancing Entity and Entity Pair Representations for Joint Entity Relation ExtractionCode0
Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering—0
Modelling Context Emotions using Multi-task Learning for Emotion Controlled Dialog Generation—0
Learning Rates for Multi-task Regularization Networks—0
Facial expression and attributes recognition based on multi-task learning of lightweight neural networks—0
Facial expression and attributes recognition based on multi-task learning of lightweight neural networks—0
High-Dimensional Bayesian Optimization with Multi-Task Learning for RocksDB—0
Target Speaker Verification with Selective Auditory Attention for Single and Multi-talker SpeechCode1
Autocorrect in the Process of Translation -- Multi-task Learning Improves Dialogue Machine TranslationCode0
CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation SystemsCode1
PeaceGAN: A GAN-based Multi-Task Learning Method for SAR Target Image Generation with a Pose Estimator and an Auxiliary Classifier—0
Self-Supervised Learning in Multi-Task Graphs through Iterative Consensus ShiftCode0
Supervised Chorus Detection for Popular Music Using Convolutional Neural Network and Multi-task Learning—0
Copolymer Informatics with Multi-Task Deep Neural NetworksCode1
Embracing the Disharmony in Medical Imaging: A Simple and Effective Framework for Domain Adaptation—0
Leveraging Multi-domain, Heterogeneous Data using Deep Multitask Learning for Hate Speech DetectionCode0
Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach—0
Let-Mi: An Arabic Levantine Twitter Dataset for Misogynistic LanguageCode0
Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs—0
Revisiting the Loss Weight Adjustment in Object DetectionCode0
Robustly Optimized and Distilled Training for Natural Language Understanding—0
Multi-task learning for virtual flow metering—0
NeuralHumanFVV: Real-Time Neural Volumetric Human Performance Rendering using RGB Cameras—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