← Architectures
Deep Learning › Architectures ›

Autoencoders

1095 directly classified papers

Papers per year

Papers

Diverse Plausible Shape Completions from Ambiguous Depth Images CORL 2020
A Simple Deconvolutional Mechanism for Point Clouds and Sparse Unordered Data (Student Abstract) AAAI 2020
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model IJCAI 2020
CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning IJCAI 2020
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error IJCAI 2020
Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders WACV 2020
Lipschitz Continuous Autoencoders in Application to Anomaly Detection AISTATS 2020
On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond ACL 2020
SCAR: Sentence Compression using Autoencoders for Reconstruction ACL 2020
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder ACL 2020
Meeting the 2020 Duolingo Challenge on a Shoestring ACL 2020
Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation EMNLP 2020
CvxNet: Learnable Convex Decomposition CVPR 2020
PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes CVPR 2020
Neural Blind Deconvolution Using Deep Priors CVPR 2020
Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild CVPR 2020
Adversarial Latent Autoencoders CVPR 2020
Unsupervised Magnification of Posture Deviations Across Subjects CVPR 2020
Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation CVPR 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
Swapping Autoencoder for Deep Image Manipulation NIPS 2020
VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data NIPS 2020