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Generative Models

7,221 papers

Papers per year

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Papers

Cost-aware Graph Generation: A Deep Bayesian Optimization Approach AAAI 2021
Generalized Adversarially Learned Inference AAAI 2021
Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting AAAI 2021
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations AAAI 2021
HiGAN: Handwriting Imitation Conditioned on Arbitrary-Length Texts and Disentangled Styles AAAI 2021
Liquid Time-constant Networks AAAI 2021
Topology Distance: A Topology-Based Approach for Evaluating Generative Adversarial Networks AAAI 2021
Slimmable Generative Adversarial Networks AAAI 2021
Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization AAAI 2021
Constructing a Fair Classifier with Generated Fair Data AAAI 2021
Neural Utility Functions AAAI 2021
IB-GAN: Disentangled Representation Learning with Information Bottleneck Generative Adversarial Networks AAAI 2021
Winning Lottery Tickets in Deep Generative Models AAAI 2021
Deep Probabilistic Canonical Correlation Analysis AAAI 2021
Sparsity Aware Normalization for GANs AAAI 2021
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference AAAI 2021
High Fidelity GAN Inversion via Prior Multi-Subspace Feature Composition AAAI 2021
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting AAAI 2021
Dynamically Grown Generative Adversarial Networks AAAI 2021
Generative Semi-supervised Learning for Multivariate Time Series Imputation AAAI 2021
Learning Deep Generative Models for Queuing Systems AAAI 2021
DIBS: Diversity Inducing Information Bottleneck in Model Ensembles AAAI 2021
UNIPoint: Universally Approximating Point Processes Intensities AAAI 2021
Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks AAAI 2021
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning AAAI 2021