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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 76–100 of 179 papers

TitleStatusHype
Robust data-driven approach for predicting the configurational energy of high entropy alloys—0
Less (Data) Is More: Why Small Data Holds the Key to the Future of Artificial Intelligence—0
Competing Models—0
ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning—0
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction—0
Bayesian inverse regression for dimension reduction with small datasets—0
A database for face presentation attack using wax figure faces—0
Data-efficient Neural Text Compression with Interactive LearningCode0
Bayesian Learning for Neural Dependency Parsing—0
Enhancing Simple Models by Exploiting What They Already Know—0
Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASRCode0
Learning What and Where to TransferCode0
SCANN: Synthesis of Compact and Accurate Neural Networks—0
SSIM -A Deep Learning Approach for Recovering Missing Time Series Sensor DataCode0
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods—0
Do we still need fuzzy classifiers for Small Data in the Era of Big Data?—0
Novel quantitative indicators of digital ophthalmoscopy image quality—0
Lung CT Imaging Sign Classification through Deep Learning on Small Data—0
A Distributionally Robust Optimization Method for Adversarial Multiple Kernel Learning—0
Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets—0
MIRA: A Computational Neuro-Based Cognitive Architecture Applied to Movie Recommender SystemsCode0
Pretrained language model transfer on neural named entity recognition in Indonesian conversational texts—0
A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regimeCode0
Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives—0
Active Image Synthesis for Efficient Labeling—0
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