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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 1–50 of 179 papers

TitleStatusHype
Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small dataCode2
TorchXRayVision: A library of chest X-ray datasets and modelsCode2
ChimeraMix: Image Classification on Small Datasets via Masked Feature MixingCode1
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object DetectionCode1
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial LocationCode1
Generative Latent Implicit Conditional Optimization when Learning from Small SampleCode1
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep LearningCode1
DeepMoD: Deep learning for Model Discovery in noisy dataCode1
Finding Covid-19 from Chest X-rays using Deep Learning on a Small DatasetCode1
Rigid-Soft Interactive Learning for Robust GraspingCode1
Analysis of Social Media Data using Multimodal Deep Learning for Disaster ResponseCode1
Parametric Scattering NetworksCode1
Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimers diseaseCode1
Tune It or Don't Use It: Benchmarking Data-Efficient Image ClassificationCode1
Ensemble long short-term memory (EnLSTM) networkCode1
Unbiased Mean Teacher for Cross-domain Object DetectionCode1
Image Classification With Small Datasets: Overview and BenchmarkCode1
S2D2Net: An Improved Approach For Robust Steel Surface Defects Diagnosis With Small Sample LearningCode0
An Infinite Parade of Giraffes: Expressive Augmentation and Complexity Layers for Cartoon DrawingCode0
SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug DiscoveryCode0
Performance Analysis of Semi-supervised Learning in the Small-data Regime using VAEsCode0
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational InferenceCode0
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep LearningCode0
On Coresets for Support Vector MachinesCode0
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled DataCode0
SSIM -A Deep Learning Approach for Recovering Missing Time Series Sensor DataCode0
Meta-Meta Classification for One-Shot LearningCode0
Randomly Projected Additive Gaussian Processes for RegressionCode0
Learning to Promote Saliency DetectorsCode0
MIRA: A Computational Neuro-Based Cognitive Architecture Applied to Movie Recommender SystemsCode0
Comparison of Deep learning models on time series forecasting : a case study of Dissolved Oxygen PredictionCode0
Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and SummarisationCode0
Data Structures & Algorithms for Exact Inference in Hierarchical ClusteringCode0
A Semi-Supervised Data Augmentation Approach using 3D Graphical EnginesCode0
Harnessing the Power of Infinitely Wide Deep Nets on Small-data TasksCode0
Capturing Structure Implicitly from Time-Series having Limited DataCode0
Generative Modeling for Small-Data Object DetectionCode0
Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASRCode0
Global Autoregressive Models for Data-Efficient Sequence LearningCode0
Hidden Physics Models: Machine Learning of Nonlinear Partial Differential EquationsCode0
Estimating uncertainty of earthquake rupture using Bayesian neural networkCode0
Incorporating physical constraints in a deep probabilistic machine learning framework for coarse-graining dynamical systemsCode0
A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regimeCode0
CuMF_SGD: Fast and Scalable Matrix FactorizationCode0
Learning What and Where to TransferCode0
Data-efficient Neural Text Compression with Interactive LearningCode0
About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data AnnotationsCode0
Deep Learning Approach for Very Similar Objects Recognition Application on Chihuahua and Muffin ProblemCode0
Deep learning for Chemometric and non-translational dataCode0
Deep Kernels with Probabilistic Embeddings for Small-Data LearningCode0
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