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Generative Models

197 directly classified papers

Papers per year

Papers

Implicit Generative Copulas NIPS 2021
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows NIPS 2021
A Unified View of cGANs with and without Classifiers NIPS 2021
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization AAAI 2021
Sketch2Model: View-Aware 3D Modeling From Single Free-Hand Sketches CVPR 2021
McFlow: Monte Carlo Flow Models for Data Imputation CVPR 2020
Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization EMNLP 2020
Meeting the 2020 Duolingo Challenge on a Shoestring ACL 2020
Gradient Estimation with Stochastic Softmax Tricks NIPS 2020
Introducing Probabilistic Bézier Curves for N-Step Sequence Prediction AAAI 2020
Conditional Generative Neural Decoding with Structured CNN Feature Prediction AAAI 2020
Generating Realistic Stock Market Order Streams AAAI 2020
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity NIPS 2020
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder ACL 2020
Decision-Making with Auto-Encoding Variational Bayes NIPS 2020
COT-GAN: Generating Sequential Data via Causal Optimal Transport NIPS 2020
Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation NIPS 2020
StructEdit: Learning Structural Shape Variations CVPR 2020
Joint Training of Variational Auto-Encoder and Latent Energy-Based Model CVPR 2020
PerformanceNet: Score-to-Audio Music Generation with Multi-Band Convolutional Residual Network AAAI 2019
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses NIPS 2019
Generalized Sliced Wasserstein Distances NIPS 2019
A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation NIPS 2019
G2SAT: Learning to Generate SAT Formulas NIPS 2019
Learning Mixtures of Plackett-Luce Models from Structured Partial Orders NIPS 2019