Generative Models

Generalized Doubly Reparameterized Gradient Estimators ICML 2021 Generalized Energy Based Models ICLR 2021 Generalized Multimodal ELBO ICLR 2021 Generating Adversarial yet Inconspicuous Patches with a Single Image (Student Abstract) AAAI 2021 Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE CVPR 2021 Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains ICLR 2021 Generating images with sparse representations ICML 2021 Generating Landmark Navigation Instructions from Maps as a Graph-to-Text Problem ACL 2021 Generating Mammography Reports from Multi-view Mammograms with BERT EMNLP 2021 Generating Realistic Natural Language Counterfactuals EMNLP 2021 Generating Relevant and Coherent Dialogue Responses using Self-Separated Conditional Variational AutoEncoders ACL 2021 Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs EACL 2021 Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation ICML 2021 Generative Adversarial Transformers ICML 2021 Generative Archimedean copulas UAI 2021 Generative Classifiers as a Basis for Trustworthy Image Classification CVPR 2021 Generative Compositional Augmentations for Scene Graph Prediction ICCV 2021 Generative Context Pair Selection for Multi-hop Question Answering EMNLP 2021 Generative Hierarchical Features From Synthesizing Images CVPR 2021 Generative Interventions for Causal Learning CVPR 2021 Generative Layout Modeling Using Constraint Graphs ICCV 2021 Generative Occupancy Fields for 3D Surface-Aware Image Synthesis NeurIPS 2021 Generative Partial Visual-Tactile Fused Object Clustering AAAI 2021 Generative Particle Variational Inference via Estimation of Functional Gradients ICML 2021 Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification CVPR 2021