conftrace_

variational autoencoder

1288 papers

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Co-occurring keywords

generative model (2892) variational inference (2069) latent space (854) representation learning (6206) latent representation (418) latent variable (541) disentangled representation (521) unsupervised learning (3264) latent variable model (564) generative adversarial network (1944)

Papers

Associative Variational Auto-Encoder with Distributed Latent Spaces and Associators AAAI 2020
Graph Representation Learning via Ladder Gamma Variational Autoencoders AAAI 2020
Camouflaged Chinese Spam Content Detection with Semi-supervised Generative Active Learning ACL 2020
Crossing Variational Autoencoders for Answer Retrieval ACL 2020
Interpretable Operational Risk Classification with Semi-Supervised Variational Autoencoder ACL 2020
On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond ACL 2020
Effective Estimation of Deep Generative Language Models ACL 2020
Semi-supervised Parsing with a Variational Autoencoding Parser ACL 2020
Visual Question Generation from Radiology Images ACL 2020
Meeting the 2020 Duolingo Challenge on a Shoestring ACL 2020
Learning VAE-LDA Models with Rounded Reparameterization Trick EMNLP 2020
Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation EMNLP 2020
Semi-supervised New Event Type Induction and Event Detection EMNLP 2020
Video Instance Segmentation Tracking With a Modified VAE Architecture CVPR 2020
Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution CVPR 2020
PatchVAE: Learning Local Latent Codes for Recognition CVPR 2020
Bringing Old Photos Back to Life CVPR 2020
Generating and Exploiting Probabilistic Monocular Depth Estimates CVPR 2020
Conditional Gaussian Distribution Learning for Open Set Recognition CVPR 2020
Exchangeable Neural ODE for Set Modeling NIPS 2020
The Autoencoding Variational Autoencoder NIPS 2020
Improving Inference for Neural Image Compression NIPS 2020
A Bayesian Nonparametrics View into Deep Representations NIPS 2020
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models NIPS 2020
Hierarchical Quantized Autoencoders NIPS 2020