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Small Data Image Classification

Supervised image classification with tens to hundreds of labeled training examples.

Papers

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Showing 126–150 of 179 papers

TitleStatusHype
Large-Scale Detection of Non-Technical Losses in Imbalanced Data Sets—0
Latent-Variable Generative Models for Data-Efficient Text Classification—0
LDMNet: Low Dimensional Manifold Regularized Neural Networks—0
Learning like humans with Deep Symbolic Networks—0
Learning to Actively Learn Neural Machine Translation—0
Learning to Answer by Learning to Ask: Getting the Best of GPT-2 and BERT Worlds—0
Learning to Control Latent Representations for Few-Shot Learning of Named Entities—0
Learning with tree-based tensor formats—0
Less (Data) Is More: Why Small Data Holds the Key to the Future of Artificial Intelligence—0
Enhancing Simple Models by Exploiting What They Already Know—0
Lie Transform--based Neural Networks for Dynamics Simulation and Learning—0
Local Contrast Learning—0
Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks—0
Lung CT Imaging Sign Classification through Deep Learning on Small Data—0
Fragment Graphical Variational AutoEncoding for Screening Molecules with Small DataCode0
S2D2Net: An Improved Approach For Robust Steel Surface Defects Diagnosis With Small Sample LearningCode0
Data-efficient Neural Text Compression with Interactive LearningCode0
Stochastic Function Norm Regularization of Deep NetworksCode0
CuMF_SGD: Fast and Scalable Matrix FactorizationCode0
Generative Modeling for Small-Data Object DetectionCode0
Global Autoregressive Models for Data-Efficient Sequence LearningCode0
Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASRCode0
Harnessing the Power of Infinitely Wide Deep Nets on Small-data TasksCode0
Hidden Physics Models: Machine Learning of Nonlinear Partial Differential EquationsCode0
Performance Analysis of Semi-supervised Learning in the Small-data Regime using VAEsCode0
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