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Generative Models

6381 directly classified papers

Papers per year

Papers

AttnGAN: Fine-Grained Text to Image Generation With Attentional Generative Adversarial Networks CVPR 2018
HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN CVPR 2018
Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial Learning CVPR 2018
LRMM: Learning to Recommend with Missing Modalities EMNLP 2018
SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications EMNLP 2018
Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement EMNLP 2018
Unsupervised Bilingual Lexicon Induction via Latent Variable Models EMNLP 2018
Treatment Side Effect Prediction from Online User-generated Content EMNLP 2018
Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks EMNLP 2018
Modeling Online Discourse with Coupled Distributed Topics EMNLP 2018
A Variational U-Net for Conditional Appearance and Shape Generation CVPR 2018
Semi-Parametric Image Synthesis CVPR 2018
Learning Compositional Visual Concepts With Mutual Consistency CVPR 2018
Accurate and Diverse Sampling of Sequences Based on a “Best of Many” Sample Objective CVPR 2018
TextureGAN: Controlling Deep Image Synthesis With Texture Patches CVPR 2018
Semi-crowdsourced Clustering with Deep Generative Models NIPS 2018
The challenge of realistic music generation: modelling raw audio at scale NIPS 2018
Neural Voice Cloning with a Few Samples NIPS 2018
3D-Aware Scene Manipulation via Inverse Graphics NIPS 2018
Entropy and mutual information in models of deep neural networks NIPS 2018
Learning Attractor Dynamics for Generative Memory NIPS 2018
Deep Generative Models for Distribution-Preserving Lossy Compression NIPS 2018
Classical Structured Prediction Losses for Sequence to Sequence Learning NAACL 2018
Batch Normalized Deep Boltzmann Machines ACML 2018
VAE with a VampPrior AISTATS 2018