Models

Generating images with sparse representations ICML 2021 Generating Landmark Navigation Instructions from Maps as a Graph-to-Text Problem ACL 2021 Generating Long Financial Report using Conditional Variational Autoencoders with Knowledge Distillation AAAI 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 Generative Scene Graph Networks ICLR 2021 Generative Semi-supervised Learning for Multivariate Time Series Imputation AAAI 2021 Generative Text Modeling through Short Run Inference EACL 2021 Generative Time-series Modeling with Fourier Flows ICLR 2021 Generative vs. Discriminative: Rethinking The Meta-Continual Learning NeurIPS 2021