Papers Unsupervised Image Classification
“Unsupervised Image Classification” 태그가 달린 논문 46편 · 필터 해제
PixelGAN Autoencoders
In this paper, we describe the "PixelGAN autoencoder", a generative autoencoder in which the generative path is a convolutional autoregressive neural network on pixels (PixelCNN) that is conditioned on a latent code, and…
DecoderGenerative Adversarial NetworkUnsupervised Image ClassificationUnsupervised MNISTLearning Discrete Representations via Information Maximizing Self-Augmented Training
Learning discrete representations of data is a central machine learning task because of the compactness of the representations and ease of interpretation. The task includes clustering and hash learning as special cases. …
ClusteringData AugmentationUnsupervised Image ClassificationInfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
This paper describes InfoGAN, an information-theoretic extension to the Generative Adversarial Network that is able to learn disentangled representations in a completely unsupervised manner. InfoGAN is a generative adver…
Generative Adversarial NetworkImage GenerationRepresentation LearningUnsupervised Image Classification+1Unsupervised Deep Embedding for Clustering Analysis
Clustering is central to many data-driven application domains and has been studied extensively in terms of distance functions and grouping algorithms. Relatively little work has focused on learning representations for cl…
ClusteringImage ClusteringUnsupervised Image ClassificationUnsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
In this paper we present a method for learning a discriminative classifier from unlabeled or partially labeled data. Our approach is based on an objective function that trades-off mutual information between observed exam…
ClusteringGeneral Classificationimage-classificationImage Classification+3Adversarial Autoencoders
In this paper, we propose the "adversarial autoencoder" (AAE), which is a probabilistic autoencoder that uses the recently proposed generative adversarial networks (GAN) to perform variational inference by matching the a…
ClusteringData VisualizationDecoderDimensionality Reduction+4