conftrace_

generative model

2892 papers

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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

Learning the Structure of Generative Models without Labeled Data ICML 2017
Compressed Sensing using Generative Models ICML 2017
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders ICML 2017
Learning Latent Representations for Speech Generation and Transformation INTERSPEECH 2017
Estimating Reactions and Recommending Products with Generative Models of Reviews IJCNLP 2017
Deep Generative Models for Relational Data with Side Information ICML 2017
Learning Hierarchical Features from Deep Generative Models ICML 2017
SEVEN: Deep Semi-supervised Verification Networks IJCAI 2017
Unsupervised Filterbank Learning Using Convolutional Restricted Boltzmann Machine for Environmental Sound Classification INTERSPEECH 2017
Speech Enhancement Using Bayesian Wavenet INTERSPEECH 2017
Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet CVPR 2017
A Functional Dynamic Boltzmann Machine IJCAI 2017
Detecting annotation noise in automatically labelled data ACL 2017
Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control ICML 2017
Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes With Deep Generative Networks CVPR 2017
Optimizing Long-term Predictions for Model-based Policy Search CORL 2017
Learning Deep Latent Gaussian Models with Markov Chain Monte Carlo ICML 2017
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics ICML 2017
Contextual Bidirectional Long Short-Term Memory Recurrent Neural Network Language Models: A Generative Approach to Sentiment Analysis EACL 2017
Stochastic Neural Networks with Monotonic Activation Functions AISTATS 2016
Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation AISTATS 2016
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images ICML 2016
Variational Inference for Monte Carlo Objectives ICML 2016
Structured Generative Models of Continuous Features for Word Sense Induction COLING 2016
Neural Variational Inference for Text Processing ICML 2016