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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 2726–2750 of 3687 papers

TitleStatusHype
A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term ExtractionCode2
Internal-transfer Weighting of Multi-task Learning for Lung Cancer DetectionCode0
Synchronous Speech Recognition and Speech-to-Text Translation with Interactive DecodingCode0
Regularizing Deep Multi-Task Networks using Orthogonal GradientsCode1
Improving Interpretability of Word Embeddings by Generating Definition and Usage—0
Automatic quality assessment for 2D fetal sonographic standard plane based on multi-task learning—0
Automatic Analysis System of Calcaneus Radiograph: Rotation-Invariant Landmark Detection for Calcaneal Angle Measurement, Fracture Identification and Fracture Region Segmentation—0
HalluciNet-ing Spatiotemporal Representations Using a 2D-CNNCode0
Adversarial Analysis of Natural Language Inference Systems—0
What Do You Mean I'm Funny? Personalizing the Joke Skill of a Voice-Controlled Virtual Assistant—0
Regularization Shortcomings for Continual Learning—0
A Multi-task Model for Multilingual Trigger Detection and Classification—0
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative TransferCode0
Better Transfer Learning with Inferred Successor Maps—0
An Iterative Polishing Framework based on Quality Aware Masked Language Model for Chinese Poetry Generation—0
Product Knowledge Graph Embedding for E-commerce—0
AdaShare: Learning What To Share For Efficient Deep Multi-Task LearningCode0
Unsupervised Domain Adaptation of Language Models for Reading Comprehension—0
CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task LearningCode1
A Conceptual Framework for Lifelong Learning—0
A Joint Learning Framework With BERT for Spoken Language Understanding—0
TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction—0
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning—0
Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning—0
Multiple Face Analyses through Adversarial 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