Models

OCONet: Image Extrapolation by Object Completion CVPR 2021 Omni-GAN: On the Secrets of cGANs and Beyond ICCV 2021 On Empirical Bayes Variational Autoencoder: An Excess Risk Bound COLT 2021 On Energy-Based Models with Overparametrized Shallow Neural Networks ICML 2021 One-shot Face Reenactment Using Appearance Adaptive Normalization AAAI 2021 One-Shot Image Recognition Using Prototypical Encoders With Reduced Hubness WACV 2021 One-Shot Voice Conversion with Speaker-Agnostic StarGAN Interspeech 2021 On Generating Transferable Targeted Perturbations ICCV 2021 Online Multi-Granularity Distillation for GAN Compression ICCV 2021 Online Variational Filtering and Parameter Learning NeurIPS 2021 On Memorization in Probabilistic Deep Generative Models NeurIPS 2021 On Multilevel Monte Carlo Unbiased Gradient Estimation for Deep Latent Variable Models AISTATS 2021 On Self-Supervised Image Representations for GAN Evaluation ICLR 2021 On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes ICML 2021 On the difficulty of unbiased alpha divergence minimization ICML 2021 On the distribution of penultimate activations of classification networks UAI 2021 On the Frequency Bias of Generative Models NeurIPS 2021 On the Generative Utility of Cyclic Conditionals NeurIPS 2021 On the Power of Edge Independent Graph Models NeurIPS 2021 On the Privacy Properties of GAN-generated Samples AISTATS 2021 On the Softmax Bottleneck of Recurrent Language Models AAAI 2021 On the Stochastic Stability of Deep Markov Models NeurIPS 2021 On Variational Inference in Biclustering Models ICML 2021 OodGAN: Generative Adversarial Network for Out-of-Domain Data Generation NAACL 2021 Oops I Took A Gradient: Scalable Sampling for Discrete Distributions ICML 2021