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 2626–2650 of 3687 papers

TitleStatusHype
MTI-Net: A Multi-Target Speech Intelligibility Prediction Model—0
MTLSegFormer: Multi-task Learning with Transformers for Semantic Segmentation in Precision Agriculture—0
MTL-SLT: Multi-Task Learning for Spoken Language Tasks—0
MTLSO: A Multi-Task Learning Approach for Logic Synthesis Optimization—0
MTL-UE: Learning to Learn Nothing for Multi-Task Learning—0
MTNA: A Neural Multi-task Model for Aspect Category Classification and Aspect Term Extraction On Restaurant Reviews—0
MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents—0
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal—0
MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis—0
Multi-Accent Adaptation based on Gate Mechanism—0
Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition—0
MultiBalance: Multi-Objective Gradient Balancing in Industrial-Scale Multi-Task Recommendation System—0
Multi-Branch Learning for Weakly-Labeled Sound Event Detection—0
Multi-Camera View Based Proactive BS Selection and Beam Switching for V2X—0
Multi-Cell Compositional LSTM for NER Domain Adaptation—0
Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading—0
Multi-Dataset Multi-Task Learning for COVID-19 Prognosis—0
Multi-Dimensional Explanation of Target Variables from Documents—0
Multi-Dimensional Explanation of Reviews—0
Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning—0
Multi-Domain Adaptation for SMT Using Multi-Task Learning—0
Multi-Domain Named Entity Recognition with Genre-Aware and Agnostic Inference—0
Multi-Expert Gender Classification on Age Group by Integrating Deep Neural Networks—0
Multi-Faceted Hierarchical Multi-Task Learning for a Large Number of Tasks with Multi-dimensional Relations—0
Multi-Feature Max-Margin Hierarchical Bayesian Model for Action Recognition—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