SOTAVerified

Small Data Image Classification

Supervised image classification with tens to hundreds of labeled training examples.

Papers

Showing 150 of 179 papers

TitleStatusHype
TorchXRayVision: A library of chest X-ray datasets and modelsCode2
Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small dataCode2
Image Classification With Small Datasets: Overview and BenchmarkCode1
ChimeraMix: Image Classification on Small Datasets via Masked Feature MixingCode1
Tune It or Don't Use It: Benchmarking Data-Efficient Image ClassificationCode1
Parametric Scattering NetworksCode1
Ensemble long short-term memory (EnLSTM) networkCode1
Analysis of Social Media Data using Multimodal Deep Learning for Disaster ResponseCode1
Finding Covid-19 from Chest X-rays using Deep Learning on a Small DatasetCode1
Generative Latent Implicit Conditional Optimization when Learning from Small SampleCode1
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep LearningCode1
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial LocationCode1
Unbiased Mean Teacher for Cross-domain Object DetectionCode1
Rigid-Soft Interactive Learning for Robust GraspingCode1
DeepMoD: Deep learning for Model Discovery in noisy dataCode1
Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimers diseaseCode1
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object DetectionCode1
HydraMix: Multi-Image Feature Mixing for Small Data Image Classification0
S2D2Net: An Improved Approach For Robust Steel Surface Defects Diagnosis With Small Sample LearningCode0
About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data AnnotationsCode0
Auxiliary Learning by Implicit DifferentiationCode0
Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models0
PuzzLing Machines: A Challenge on Learning From Small Data0
ST^2: Small-data Text Style Transfer via Multi-task Meta-Learning0
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense0
Meta-Meta Classification for One-Shot LearningCode0
On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems0
A Close Look at Deep Learning with Small Data0
Deep Neural Review Text Interaction for Recommendation Systems0
Adaptive Name Entity Recognition under Highly Unbalanced Data0
Performance Analysis of Semi-supervised Learning in the Small-data Regime using VAEsCode0
Data Structures & Algorithms for Exact Inference in Hierarchical ClusteringCode0
Better Classifier Calibration for Small Data Sets0
Meta-learning for mixed linear regression0
On Coresets for Support Vector MachinesCode0
On a scalable entropic breaching of the overfitting barrier in machine learning0
Better Multi-class Probability Estimates for Small Data Sets0
Big-Data Science in Porous Materials: Materials Genomics and Machine Learning0
Identifying Table Structure in Documents using Conditional Generative Adversarial Networks0
Incorporating physical constraints in a deep probabilistic machine learning framework for coarse-graining dynamical systemsCode0
Randomly Projected Additive Gaussian Processes for RegressionCode0
MRI Pulse Sequence Integration for Deep-Learning Based Brain Metastasis Segmentation0
Generalizable prediction of academic performance from short texts on social media0
Towards Hardware-Aware Tractable Learning of Probabilistic ModelsCode0
Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and SummarisationCode0
Estimating uncertainty of earthquake rupture using Bayesian neural networkCode0
Learning to Control Latent Representations for Few-Shot Learning of Named Entities0
CD2 : Combined Distances of Contrast Distributions for the Assessment of Perceptual Quality of Image Processing0
Comparison of Deep learning models on time series forecasting : a case study of Dissolved Oxygen PredictionCode0
Transfer Learning of fMRI Dynamics0
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