generative model

Few-shot Image Generation with Elastic Weight Consolidation NeurIPS 2020 Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents ICLR 2020 Flow Contrastive Estimation of Energy-Based Models CVPR 2020 Flows for simultaneous manifold learning and density estimation NeurIPS 2020 FlowSynth: Simplifying Complex Audio Generation Through Explorable Latent Spaces with Normalizing Flows IJCAI 2020 From Variational to Deterministic Autoencoders ICLR 2020 G3AN: Disentangling Appearance and Motion for Video Generation CVPR 2020 GAIT: A Geometric Approach to Information Theory AISTATS 2020 Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction NeurIPS 2020 GanHand: Predicting Human Grasp Affordances in Multi-Object Scenes CVPR 2020 GAN Memory with No Forgetting NeurIPS 2020 Gaussianization Flows AISTATS 2020 Generalized Zero-Shot Learning via Over-Complete Distribution CVPR 2020 Generate, Segment, and Refine: Towards Generic Manipulation Segmentation AAAI 2020 Generating Correct Answers for Progressive Matrices Intelligence Tests NeurIPS 2020 Generating Person Images with Appearance-aware Pose Stylizer IJCAI 2020 Generationary or “How We Went beyond Word Sense Inventories and Learned to Gloss” EMNLP 2020 Generative Attention Networks for Multi-Agent Behavioral Modeling AAAI 2020 Generative causal explanations of black-box classifiers NeurIPS 2020 Generative Continual Concept Learning AAAI 2020 Generative-Discriminative Feature Representations for Open-Set Recognition CVPR 2020 Generative Exploration and Exploitation AAAI 2020 Generative Flows with Matrix Exponential ICML 2020 Generative Models for Effective ML on Private, Decentralized Datasets ICLR 2020 Generative Model with Semantic Embedding and Integrated Classifier for Generalized Zero-Shot Learning WACV 2020