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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 51–100 of 179 papers

TitleStatusHype
Interactive Evidence Detection: train state-of-the-art model out-of-domain or simple model interactively?—0
Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset—0
Promoting the Knowledge of Source Syntax in Transformer NMT Is Not Needed—0
Semantic Segmentation of Skin Lesions using a Small Data Set—0
Fragment Graphical Variational AutoEncoding for Screening Molecules with Small DataCode0
Multiphase flow prediction with deep neural networks—0
Generative Modeling for Small-Data Object DetectionCode0
Deep Kernels with Probabilistic Embeddings for Small-Data LearningCode0
Spoofing and Anti-Spoofing with Wax Figure Faces—0
Accelerometer-Based Gait Segmentation: Simultaneously User and Adversary Identification—0
Deep Kernel Learning via Random Fourier Features—0
Algorithmic Probability-guided Supervised Machine Learning on Non-differentiable Spaces—0
Fully Convolutional Networks for Chip-wise Defect Detection Employing Photoluminescence Images—0
Harnessing the Power of Infinitely Wide Deep Nets on Small-data TasksCode0
Latent-Variable Generative Models for Data-Efficient Text Classification—0
Deep learning for Chemometric and non-translational dataCode0
PPINN: Parareal Physics-Informed Neural Network for time-dependent PDEs—0
Automated detection of oral pre-cancerous tongue lesions using deep learning for early diagnosis of oral cavity cancer—0
Global Autoregressive Models for Data-Efficient Sequence LearningCode0
Evaluating the Consistency of Word Embeddings from Small Data—0
Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study—0
Effect of Activation Functions on the Training of Overparametrized Neural Nets—0
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
ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning—0
Competing Models—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
Bayesian Learning for Neural Dependency Parsing—0
Data-efficient Neural Text Compression with Interactive LearningCode0
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
DeepMoD: Deep learning for Model Discovery in noisy dataCode1
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
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled DataCode0
Visual Feature Fusion and its Application to Support Unsupervised Clustering Tasks—0
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