Generative Models

Generating Realistic Stock Market Order Streams AAAI 2020 Generating Synthetic Data for Task-Oriented Semantic Parsing with Hierarchical Representations EMNLP 2020 Generationary or “How We Went beyond Word Sense Inventories and Learned to Gloss” EMNLP 2020 Generation of Realistic Images for Learning in Simulation using FeatureGAN CoRL 2020 Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule Perspective JMLR 2020 Generative Adversarial Network Based Acoustic Echo Cancellation Interspeech 2020 Generative Adversarial Networks for Video-to-Video Domain Adaptation AAAI 2020 Generative adversarial training of product of policies for robust and adaptive movement primitives CoRL 2020 Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs AAAI 2020 Generative Attention Networks for Multi-Agent Behavioral Modeling AAAI 2020 Generative Continual Concept Learning AAAI 2020 Generative Data Augmentation for Commonsense Reasoning EMNLP 2020 Generative-Discriminative Complementary Learning AAAI 2020 Generative-Discriminative Feature Representations for Open-Set Recognition CVPR 2020 Generative Exploration and Exploitation AAAI 2020 Generative Hybrid Representations for Activity Forecasting With No-Regret Learning CVPR 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 Generative Neurosymbolic Machines NeurIPS 2020 Generative Pseudo-label Refinement for Unsupervised Domain Adaptation WACV 2020 Generative Ratio Matching Networks ICLR 2020 Generative Semantic Hashing Enhanced via Boltzmann Machines ACL 2020 GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations ICLR 2020 GIFnets: Differentiable GIF Encoding Framework CVPR 2020 Global Relational Models of Source Code ICLR 2020