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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
Adaptive Name Entity Recognition under Highly Unbalanced Data—0
A database for face presentation attack using wax figure faces—0
A Deep Latent-Variable Model Application to Select Treatment Intensity in Survival Analysis—0
Algorithmic Probability-guided Supervised Machine Learning on Non-differentiable Spaces—0
Analysis of PCA Algorithms in Distributed Environments—0
A Named Entity Recognition Shootout for German—0
An Improved Deep Learning Architecture for Person Re-Identification—0
Annotation of a Large Clinical Entity Corpus—0
A Novel Hybrid CNN-AIS Visual Pattern Recognition Engine—0
Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study—0
A simple efficient density estimator that enables fast systematic search—0
Automated detection of oral pre-cancerous tongue lesions using deep learning for early diagnosis of oral cavity cancer—0
Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation—0
Active Image Synthesis for Efficient Labeling—0
Bayesian inverse regression for dimension reduction with small datasets—0
Bayesian Learning for Neural Dependency Parsing—0
Better Classifier Calibration for Small Data Sets—0
Better Multi-class Probability Estimates for Small Data Sets—0
Beyond Fine Tuning: A Modular Approach to Learning on Small Data—0
Big-Data Science in Porous Materials: Materials Genomics and Machine Learning—0
Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representations on Sequence Labelling Tasks—0
Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representation on Sequence Labelling Tasks—0
Big Generalizations with Small Data: Exploring the Role of Training Samples in Learning Adjectives of Size—0
Bridging CNNs, RNNs, and Weighted Finite-State Machines—0
Capturing Localized Image Artifacts through a CNN-based Hyper-image Representation—0
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