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Autoencoders

1095 directly classified papers

Papers per year

Papers

Discrete Flows: Invertible Generative Models of Discrete Data NIPS 2019
Discrete Object Generation with Reversible Inductive Construction NIPS 2019
Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders NAACL 2019
Stacked Capsule Autoencoders NIPS 2019
Exact Rate-Distortion in Autoencoders via Echo Noise NIPS 2019
Multivariate Time Series Prediction Based on Optimized Temporal Convolutional Networks with Stacked Auto-encoders ACML 2019
Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder NIPS 2019
A coupled autoencoder approach for multi-modal analysis of cell types NIPS 2019
Self-Supervised Deep Depth Denoising ICCV 2019
Bilingual-GAN: A Step Towards Parallel Text Generation NAACL 2019
Latent Normalizing Flows for Discrete Sequences ICML 2019
Convolutional Poisson Gamma Belief Network ICML 2019
Almost Unsupervised Learning for Dense Crowd Counting AAAI 2019
A Personalized Affective Memory Model for Improving Emotion Recognition ICML 2019
Domain Agnostic Learning with Disentangled Representations ICML 2019
Sinkhorn AutoEncoders UAI 2019
Hierarchical Decompositional Mixtures of Variational Autoencoders ICML 2019
Variational Laplace Autoencoders ICML 2019
Learning Relational Representations with Auto-encoding Logic Programs IJCAI 2019
Semantic Sentence Matching with Densely-Connected Recurrent and Co-Attentive Information AAAI 2019
Anomaly Detection Using Autoencoders in High Performance Computing Systems AAAI 2019
A Machine Learning Suite for Machine Components’ Health-Monitoring AAAI 2019
Novelty Detection for Multispectral Images with Application to Planetary Exploration AAAI 2019
Bayesian Optimization in Variational Latent Spaces with Dynamic Compression CORL 2019
Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization AISTATS 2019