conftrace_

generative model

2892 papers

Explore in graph

Also known as

GM

Co-occurring keywords

diffusion model (3751) image generation (2073) variational autoencoder (1288) variational inference (2069) neural network (6616) latent space (854) generative adversarial network (1944) representation learning (6206) unsupervised learning (3264) normalizing flow (354)

Papers

A Generative Parser with a Discriminative Recognition Algorithm ACL 2017
Improving Neural Parsing by Disentangling Model Combination and Reranking Effects ACL 2017
Signal-based Bayesian Seismic Monitoring AISTATS 2017
When Does Label Propagation Fail? A View from a Network Generative Model IJCAI 2017
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering IJCAI 2017
Creativity: Generating Diverse Questions Using Variational Autoencoders CVPR 2017
Unified Representation and Lifted Sampling for Generative Models of Social Networks IJCAI 2017
Understanding Users' Budgets for Recommendation with Hierarchical Poisson Factorization IJCAI 2017
On the Ability of Neural Nets to Express Distributions COLT 2017
Learning RBM with a DC programming Approach ACML 2017
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model NIPS 2017
Probabilistic Temporal Subspace Clustering CVPR 2017
MMD GAN: Towards Deeper Understanding of Moment Matching Network NIPS 2017
REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models NIPS 2017
Learning Diverse Image Colorization CVPR 2017
Inferring Generative Model Structure with Static Analysis NIPS 2017
Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra NIPS 2017
A-NICE-MC: Adversarial Training for MCMC NIPS 2017
Learning Disentangled Representations with Semi-Supervised Deep Generative Models NIPS 2017
Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space NIPS 2017
A Generative Model for Depth-Based Robust 3D Facial Pose Tracking CVPR 2017
Improved Training of Wasserstein GANs NIPS 2017
On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models NIPS 2017
Image-To-Image Translation With Conditional Adversarial Networks CVPR 2017
Generative Hierarchical Learning of Sparse FRAME Models CVPR 2017