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 2101–2125 of 3687 papers

TitleStatusHype
A Transformer-based Threshold-Free Framework for Multi-Intent NLU—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
A Transformer-based Threshold-Free Framework for Multi-Intent NLU—0
A Transformer-Based Multi-Stream Approach for Isolated Iranian Sign Language Recognition—0
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and A New Benchmark—0
Multi-Dataset Multi-Task Learning for COVID-19 Prognosis—0
Towards Word-Level End-to-End Neural Speaker Diarization with Auxiliary Network—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
A Transformer-Based Deep Learning Approach for Fairly Predicting Post-Liver Transplant Risk Factors—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
TPG-DNN: A Method for User Intent Prediction Based on Total Probability Formula and GRU Loss with Multi-task Learning—0
ATM: Improving Model Merging by Alternating Tuning and Merging—0
When Deep Learning Meets Multi-Task Learning in SAR ATR: Simultaneous Target Recognition and Segmentation—0
Multi-head Span-based Detector for AI-generated Fragments in Scientific Papers—0
Multi-Label Compound Expression Recognition: C-EXPR Database & Network—0
Multi-label Multi-task Deep Learning for Behavioral Coding—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