Fashion-MNIST
Emerging30papers using it
2017first seen
Papers using Fashion-MNIST (30)
- Deep Generative Clustering with VAEs and Expectation-MaximizationMultivariate Variational AutoencoderToward Architecture-Agnostic Local Control of Posterior Collapse in VAEsBidirectional Variational AutoencodersGeneralization Bound for Diffusion Models using Random FeaturesVariational Laplace AutoencodersMultilinear Latent Conditioning for Generating Unseen Attribute CombinationsWasserstein-Wasserstein Auto-EncodersAdaptive Consensus Optimization Method for GANsAlleviating Adversarial Attacks on Variational Autoencoders with MCMCFIS-GAN: GAN with Flow-based Importance SamplingLifelong Generative Learning via Knowledge ReconstructionOptimal Transport Based Generative AutoencodersTeaching a GAN What Not to LearnThe Deep Generative Decoder: MAP estimation of representations improves
modeling of single-cell RNA dataConditional Variational Autoencoder with Balanced Pre-training for Generative Adversarial NetworksProgressive GANomaly: Anomaly detection with progressively growing GANsSDiT: Spiking Diffusion Model with TransformerA Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial NetworksOn Kernel-based Variational AutoencoderPixel-wise Conditioning of Generative Adversarial NetworksGenerative Adversarial Networks with Inverse Transformation UnitGenerative Models from the perspective of Continual LearningTraining generative networks using random discriminatorsHierarchical Mixtures of Generators for Adversarial LearningEnhanced Balancing GAN: Minority-class Image GenerationSelf Sparse Generative Adversarial NetworksMulti-class Generative Adversarial Nets for Semi-supervised Image ClassificationBias-Free FedGAN: A Federated Approach to Generate Bias-Free DatasetsOptical Generative Models