Generative Models

Improving Generative Adversarial Networks via Adversarial Learning in Latent Space NeurIPS 2022 Improving Mutual Information Estimation with Annealed and Energy-Based Bounds ICLR 2022 Improving Speech Enhancement through Fine-Grained Speech Characteristics Interspeech 2022 Improving Text Simplification with Factuality Error Detection EMNLP 2022 Improving Top-K Decoding for Non-Autoregressive Semantic Parsing via Intent Conditioning COLING 2022 Improving Variational Autoencoders with Density Gap-based Regularization NeurIPS 2022 Incorporating Causal Analysis into Diversified and Logical Response Generation COLING 2022 Increasing the accuracy and resolution of precipitation forecasts using deep generative models AISTATS 2022 Increasing the Diversity of Deep Generative Models AAAI 2022 InfinityGAN: Towards Infinite-Pixel Image Synthesis ICLR 2022 Information Bottlenecked Variational Autoencoder for Disentangled 3D Facial Expression Modelling WACV 2022 Information-Theoretic GAN Compression with Variational Energy-based Model NeurIPS 2022 InOut: Diverse Image Outpainting via GAN Inversion CVPR 2022 INRAS: Implicit Neural Representation for Audio Scenes NeurIPS 2022 InsetGAN for Full-Body Image Generation CVPR 2022 Instability and Local Minima in GAN Training with Kernel Discriminators NeurIPS 2022 Interactive Latent Knowledge Selection for E-Commerce Product Copywriting Generation ACL 2022 Interpretable Generative Adversarial Networks AAAI 2022 Intrinsic dimensionality estimation using Normalizing Flows NeurIPS 2022 Introducing Auxiliary Text Query-modifier to Content-based Audio Retrieval Interspeech 2022 Introducing Variational Autoencoders to High School Students AAAI 2022 Investigating the Generative Approach for Question Answering in E-Commerce ACL 2022 Investigation into Target Speaking Rate Adaptation for Voice Conversion Interspeech 2022 Iterative Alignment Flows AISTATS 2022 Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design ICLR 2022