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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
A Distributionally Robust Optimization Method for Adversarial Multiple Kernel Learning—0
Nazr-CNN: Fine-Grained Classification of UAV Imagery for Damage Assessment—0
Network Signatures from Image Representation of Adjacency Matrices: Deep/Transfer Learning for Subgraph Classification—0
Novel quantitative indicators of digital ophthalmoscopy image quality—0
On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems—0
On a scalable entropic breaching of the overfitting barrier in machine learning—0
One-Shot Coresets: The Case of k-Clustering—0
Ordinal Constrained Binary Code Learning for Nearest Neighbor Search—0
Predicting Oral Disintegrating Tablet Formulations by Neural Network Techniques—0
Pretrained language model transfer on neural named entity recognition in Indonesian conversational texts—0
Promoting the Knowledge of Source Syntax in Transformer NMT Is Not Needed—0
PuzzLing Machines: A Challenge on Learning From Small Data—0
QCRI @ DSL 2016: Spoken Arabic Dialect Identification Using Textual Features—0
Quality-Efficiency Trade-offs in Machine Learning for Text Processing—0
Relaxed Earth Mover's Distances for Chain- and Tree-connected Spaces and their use as a Loss Function in Deep Learning—0
Representation Learning on Large and Small Data—0
Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study—0
Robust data-driven approach for predicting the configurational energy of high entropy alloys—0
Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset—0
SCANN: Synthesis of Compact and Accurate Neural Networks—0
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction—0
Semantic Segmentation of Skin Lesions using a Small Data Set—0
ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning—0
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods—0
Small Sample Learning in Big Data Era—0
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