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Generative Models

6,381 papers

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Papers

Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval AAAI 2022
Energy-Based Generative Cooperative Saliency Prediction AAAI 2022
An Adversarial Framework for Generating Unseen Images by Activation Maximization AAAI 2022
Boosting Generative Zero-Shot Learning by Synthesizing Diverse Features with Attribute Augmentation AAAI 2022
TiGAN: Text-Based Interactive Image Generation and Manipulation AAAI 2022
Unsupervised Anomaly Detection by Robust Density Estimation AAAI 2022
SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss AAAI 2022
Deepfake Network Architecture Attribution AAAI 2022
Dynamic Manifold Learning for Land Deformation Forecasting AAAI 2022
Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models AAAI 2022
Clustering Interval-Censored Time-Series for Disease Phenotyping AAAI 2022
Multimodal Adversarially Learned Inference with Factorized Discriminators AAAI 2022
Graph Neural Controlled Differential Equations for Traffic Forecasting AAAI 2022
Disentangled Spatiotemporal Graph Generative Models AAAI 2022
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels AAAI 2022
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs AAAI 2022
Fast Graph Neural Tangent Kernel via Kronecker Sketching AAAI 2022
Fully Spiking Variational Autoencoder AAAI 2022
Self-Supervised Enhancement of Latent Discovery in GANs AAAI 2022
Spatial Frequency Bias in Convolutional Generative Adversarial Networks AAAI 2022
Differentially Private Normalizing Flows for Synthetic Tabular Data Generation AAAI 2022
Top-Down Deep Clustering with Multi-Generator GANs AAAI 2022
Conditional Loss and Deep Euler Scheme for Time Series Generation AAAI 2022
Continual Learning through Retrieval and Imagination AAAI 2022
PluGeN: Multi-Label Conditional Generation from Pre-trained Models AAAI 2022