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Autoencoders

1,154 papers

Papers per year

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11
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Papers

RODNet: Radar Object Detection Using Cross-Modal Supervision WACV 2021
Deep reconstruction of strange attractors from time series NIPS 2020
Flows for simultaneous manifold learning and density estimation NIPS 2020
Improving Inference for Neural Image Compression NIPS 2020
Network-to-Network Translation with Conditional Invertible Neural Networks NIPS 2020
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models NIPS 2020
Hierarchical Quantized Autoencoders NIPS 2020
Regularized linear autoencoders recover the principal components, eventually NIPS 2020
Swapping Autoencoder for Deep Image Manipulation NIPS 2020
Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels NIPS 2020
CoSE: Compositional Stroke Embeddings NIPS 2020
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders NIPS 2020
Deep Subspace Clustering with Data Augmentation NIPS 2020
Monotone operator equilibrium networks NIPS 2020
VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data NIPS 2020
A Convolutional Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction NIPS 2020
Deep Automodulators NIPS 2020
Implicit Rank-Minimizing Autoencoder NIPS 2020
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample NIPS 2020
Inverse Learning of Symmetries NIPS 2020
Recursive Inference for Variational Autoencoders NIPS 2020
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder NIPS 2020
Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments CORL 2020
Learning an Expert Skill-Space for Replanning Dynamic Quadruped Locomotion over Obstacles CORL 2020
Diverse Plausible Shape Completions from Ambiguous Depth Images CORL 2020