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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 2776–2800 of 3687 papers

TitleStatusHype
Pre-training Text Representations as Meta Learning—0
Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data—0
Preventing Catastrophic Forgetting in Continual Learning of New Natural Language Tasks—0
Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled Primitives—0
Principled Weight Initialization for Hypernetworks—0
Unified Speech-Text Pre-training for Speech Translation and Recognition—0
Unified View of Grokking, Double Descent and Emergent Abilities: A Perspective from Circuits Competition—0
Uniform Loss vs. Specialized Optimization: A Comparative Analysis in Multi-Task Learning—0
Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective—0
A multi-task learning model for malware classification with useful file access pattern from API call sequence—0
Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data—0
Probabilistic Multi-Task Feature Selection—0
Product Knowledge Graph Embedding for E-commerce—0
PROFIT: A Specialized Optimizer for Deep Fine Tuning—0
Unifying Instance and Panoptic Segmentation with Dynamic Rank-1 Convolutions—0
Progressive DeepSSM: Training Methodology for Image-To-Shape Deep Models—0
Agnostic Lane Detection—0
Correct Like Humans: Progressive Learning Framework for Chinese Text Error Correction—0
Actigraphy-based Sleep/Wake Pattern Detection using Convolutional Neural Networks—0
Promoting the Knowledge of Source Syntax in Transformer NMT Is Not Needed—0
Unifying Multi-Domain Multi-Task Learning: Tensor and Neural Network Perspectives—0
Extracting Fractional Inspiratory Time from Electrocardiograms—0
PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks—0
Unifying Question Answering, Text Classification, and Regression via Span Extraction—0
Proofread Sentence Generation as Multi-Task Learning with Editing Operation Prediction—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