Models

Adaptive Fusion Techniques for Multimodal Data EACL 2021 Adaptive Privacy Preserving Deep Learning Algorithms for Medical Data WACV 2021 Adaptive Text to Speech for Spontaneous Style Interspeech 2021 Adaptive Weighted Discriminator for Training Generative Adversarial Networks CVPR 2021 A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation EMNLP 2021 A Differentiable Point Process with Its Application to Spiking Neural Networks ICML 2021 A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing EMNLP 2021 Adversarial Attacks Are Reversible With Natural Supervision ICCV 2021 Adversarial Directed Graph Embedding AAAI 2021 Adversarial Generation of Continuous Images CVPR 2021 Adversarial Purification with Score-based Generative Models ICML 2021 Adversarial score matching and improved sampling for image generation ICLR 2021 A Fine-Grained Analysis of BERTScore EMNLP 2021 AgeFlow: Conditional Age Progression and Regression with Normalizing Flows IJCAI 2021 A Generalised Linear Model Framework for β-Variational Autoencoders based on Exponential Dispersion Families JMLR 2021 A Generative Adversarial Framework for Bounding Confounded Causal Effects AAAI 2021 A Generative Modeling Approach to Calibrated Predictions: A Use Case on Menstrual Cycle Length Prediction MLHC 2021 A generative nonparametric Bayesian model for whole genomes NeurIPS 2021 A Geometric Analysis of Deep Generative Image Models and Its Applications ICLR 2021 Aggregated Multi-GANs for Controlled 3D Human Motion Prediction AAAI 2021 A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection ICCV 2021 A Hierarchical VAE for Calibrating Attributes while Generating Text using Normalizing Flow ACL 2021 A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction ICCV 2021 A Learned Conditional Prior for the VAE Acoustic Space of a TTS System Interspeech 2021 Alias-Free Generative Adversarial Networks NeurIPS 2021