SOTAVerified

Small Data Image Classification

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

Papers

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Showing 51–75 of 179 papers

TitleStatusHype
SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug DiscoveryCode0
Learning to Answer by Learning to Ask: Getting the Best of GPT-2 and BERT Worlds—0
Interactive Evidence Detection: train state-of-the-art model out-of-domain or simple model interactively?—0
Big Generalizations with Small Data: Exploring the Role of Training Samples in Learning Adjectives of Size—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
Multiphase flow prediction with deep neural networks—0
Fragment Graphical Variational AutoEncoding for Screening Molecules with Small DataCode0
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
Deep learning for Chemometric and non-translational dataCode0
Latent-Variable Generative Models for Data-Efficient Text Classification—0
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
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