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Pseudo Label

A lightweight but very power technique for semi supervised learning

Papers

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Showing 926–950 of 956 papers

TitleStatusHype
Semi-supervised ASR by End-to-end Self-training—0
FixMatch: Simplifying Semi-Supervised Learning with Consistency and ConfidenceCode2
FixMatch: Simplifying Semi-Supervised Learning with Consistency and ConfidenceCode2
A Sample Selection Approach for Universal Domain Adaptation—0
Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis—0
Rethinking Curriculum Learning with Incremental Labels and Adaptive Compensation—0
Generative Pseudo-label Refinement for Unsupervised Domain AdaptationCode0
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification—0
Adversarial-Learned Loss for Domain AdaptationCode1
WSOD with PSNet and Box Regression—0
Progressive Sample Mining and Representation Learning for One-Shot Person Re-identification with Adversarial SamplesCode0
Self-Training for End-to-End Speech Recognition—0
Generating Accurate Pseudo-labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial ActivationsCode0
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning—0
Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation—0
Learning Navigation Subroutines from Egocentric Videos—0
Structured Discriminative Tensor Dictionary Learning for Unsupervised Domain Adaptation—0
Photometric Transformer Networks and Label Adjustment for Breast Density Prediction—0
Transferrable Prototypical Networks for Unsupervised Domain Adaptation—0
Deep Comprehensive Correlation Mining for Image ClusteringCode0
Weakly Supervised Person Re-ID: Differentiable Graphical Learning and A New BenchmarkCode1
A Pseudo-Label Method for Coarse-to-Fine Multi-Label Learning with Limited Supervision—0
When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets—0
SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection—0
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training—0
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