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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 1751–1775 of 3687 papers

TitleStatusHype
Adversarial multi-task learning to solve holistic semantic polishing problem of Chinese text—0
On-Demand Unlabeled Personalized Federated Learning—0
Grounding Psychological Shape Space in Convolutional Neural NetworksCode1
CoCA-MDD: A Coupled Cross-Attention based Framework for Streaming Mispronunciation Detection and Diagnosis—0
Improving Prosody for Unseen Texts in Speech Synthesis by Utilizing Linguistic Information and Noisy Data—0
DEEP: DEnoising Entity Pre-training for Neural Machine Translation—0
Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking—0
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning—0
Multi-Task Neural Processes—0
Variational Multi-Task Learning with Gumbel-Softmax PriorsCode1
Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation networkCode0
Reinforcement Learning for Mixed Autonomy IntersectionsCode1
InQSS: a speech intelligibility and quality assessment model using a multi-task learning networkCode1
Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning—0
Multi-task Learning of Order-Consistent Causal Graphs—0
Unified 3D Mesh Recovery of Humans and Animals by Learning Animal Exercise—0
Papago’s Submission for the WMT21 Quality Estimation Shared Task—0
Netmarble AI Center’s WMT21 Automatic Post-Editing Shared Task Submission—0
Multi-Domain Multilingual Question AnsweringCode1
Synthetic Data Generation and Multi-Task Learning for Extracting Temporal Information from Health-Related Narrative Text—0
KOAS: Korean Text Offensiveness Analysis System—0
Cross-lingual Sentence Embedding using Multi-Task Learning—0
Come hither or go away? Recognising pre-electoral coalition signals in the news—0
BPM_MT: Enhanced Backchannel Prediction Model using Multi-Task Learning—0
Efficient Multi-Task Auxiliary Learning: Selecting Auxiliary Data by Feature SimilarityCode0
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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