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Generative Models

7,221 papers

Papers per year

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34
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Papers

Weakly Supervised Disentanglement by Pairwise Similarities AAAI 2020
Distilling Portable Generative Adversarial Networks for Image Translation AAAI 2020
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows AAAI 2020
End-to-End Unpaired Image Denoising with Conditional Adversarial Networks AAAI 2020
Co-Occurrence Estimation from Aggregated Data with Auxiliary Information AAAI 2020
An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks AAAI 2020
DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets AAAI 2020
Generative Exploration and Exploitation AAAI 2020
InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models AAAI 2020
A Forest from the Trees: Generation through Neighborhoods AAAI 2020
EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks AAAI 2020
Stochastic Loss Function AAAI 2020
Collaborative Sampling in Generative Adversarial Networks AAAI 2020
Structured Output Learning with Conditional Generative Flows AAAI 2020
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models AAAI 2020
CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator AAAI 2020
Generative Continual Concept Learning AAAI 2020
Graph Representation Learning via Ladder Gamma Variational Autoencoders AAAI 2020
Uncertainty-Aware Deep Classifiers Using Generative Models AAAI 2020
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers AAAI 2020
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip AAAI 2020
Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance AAAI 2020
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values AAAI 2020
Meta-Learning for Generalized Zero-Shot Learning AAAI 2020
Meta-Amortized Variational Inference and Learning AAAI 2020