Variational Inference

End-to-End Signal Factorization for Speech: Identity, Content, and Style IJCAI 2020 Estimating Gradients for Discrete Random Variables by Sampling without Replacement ICLR 2020 Evaluating Lossy Compression Rates of Deep Generative Models ICML 2020 Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder ACL 2020 Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders NeurIPS 2020 Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation NeurIPS 2020 Expected Information Maximization: Using the I-Projection for Mixture Density Estimation ICLR 2020 Explicit Semantic Decomposition for Definition Generation ACL 2020 Exploring TTS Without T Using Biologically/Psychologically Motivated Neural Network Modules (ZeroSpeech 2020) Interspeech 2020 Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses NeurIPS 2020 Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback AAAI 2020 Fast and Flexible Temporal Point Processes with Triangular Maps NeurIPS 2020 f-Divergence Variational Inference NeurIPS 2020 Flexible Approximate Inference via Stratified Normalizing Flows UAI 2020 Flow Contrastive Estimation of Energy-Based Models CVPR 2020 Focus-Constrained Attention Mechanism for CVAE-based Response Generation EMNLP 2020 Frequency Bias in Neural Networks for Input of Non-Uniform Density ICML 2020 From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models ICML 2020 From Variational to Deterministic Autoencoders ICLR 2020 Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective NeurIPS 2020 Generalization Guarantees for Imitation Learning CoRL 2020 Generating Diverse Translation from Model Distribution with Dropout EMNLP 2020 GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations ICLR 2020 GP-VAE: Deep Probabilistic Time Series Imputation AISTATS 2020 Graph-Driven Generative Models for Heterogeneous Multi-Task Learning AAAI 2020