generative model

Disentangled Representations for Sequence Data using Information Bottleneck Principle ACML 2020 Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN) ICLR 2020 Distribution Augmentation for Generative Modeling ICML 2020 DIVA: Domain Invariant Variational Autoencoders MIDL 2020 Diversity Transfer Network for Few-Shot Learning AAAI 2020 Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks NeurIPS 2020 DualSDF: Semantic Shape Manipulation Using a Two-Level Representation CVPR 2020 Effectively Unbiased FID and Inception Score and Where to Find Them CVPR 2020 Efficient Learning of Generative Models via Finite-Difference Score Matching NeurIPS 2020 Efficiently Solving MDPs with Stochastic Mirror Descent ICML 2020 Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity NeurIPS 2020 Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data NeurIPS 2020 Embodied Language Grounding With 3D Visual Feature Representations CVPR 2020 Ensemble Generative Cleaning With Feedback Loops for Defending Adversarial Attacks CVPR 2020 Episode-Based Prototype Generating Network for Zero-Shot Learning CVPR 2020 Evaluating Lossy Compression Rates of Deep Generative Models ICML 2020 Exchangeable Generative Models with Flow Scans AAAI 2020 Exchangeable Neural ODE for Set Modeling NeurIPS 2020 Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation NeurIPS 2020 Explorable Super Resolution CVPR 2020 Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity and Temporal-Consistency Video Prediction CVPR 2020 Extrapolating False Alarm Rates in Automatic Speaker Verification Interspeech 2020 Fair Generative Modeling via Weak Supervision ICML 2020 Fast Texture Synthesis via Pseudo Optimizer CVPR 2020 Few Sample Learning without Data Storage for Lifelong Stream Mining (Student Abstract) AAAI 2020