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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 1576–1600 of 3687 papers

TitleStatusHype
Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation—0
Domain-Agnostic Few-Shot Classification by Learning Disparate Modulators—0
Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks—0
Investigating NP-Chunking with Universal Dependencies for English—0
Investigating the effect of auxiliary objectives for the automated grading of learner English speech transcriptions—0
Investigating the Role of Argumentation in the Rhetorical Analysis of Scientific Publications with Neural Multi-Task Learning Models—0
Anomalous Sound Detection Using a Binary Classification Model and Class Centroids—0
iPINNs: Incremental learning for Physics-informed neural networks—0
IQFM A Wireless Foundational Model for I/Q Streams in AI-Native 6G—0
ISAM-MTL: Cross-subject multi-task learning model with identifiable spikes and associative memory networks—0
Deep Multi-Task Learning with Shared Memory—0
A Hierarchical Context-aware Modeling Approach for Multi-aspect and Multi-granular Pronunciation Assessment—0
Deep Multi-Task Learning with Shared Memory for Text Classification—0
ISS-MULT: Intelligent Sample Selection for Multi-Task Learning in Question Answering—0
ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest—0
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution—0
"It's a Match!" -- A Benchmark of Task Affinity Scores for Joint Learning—0
Deep Multi-task Multi-label CNN for Effective Facial Attribute Classification—0
Jacobian Descent for Multi-Objective Optimization—0
A Heterogeneous Graph-Based Multi-Task Learning for Fault Event Diagnosis in Smart Grid—0
基于多层次预训练策略和多任务学习的端到端蒙汉语音翻译(End-to-end Mongolian-Chinese Speech Translation Based on Multi-level Pre-training Strategies and Multi-task Learning)—0
基于多任务学习的生成式阅读理解(Generative Reading Comprehension via Multi-task Learning)—0
Few-Shot and Zero-Shot Learning for Historical Text Normalization—0
FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks—0
Comparing Encoder-Only and Encoder-Decoder Transformers for Relation Extraction from Biomedical Texts: An Empirical Study on Ten Benchmark Datasets—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