Generative Models

A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning Interspeech 2020 Acrostic Poem Generation EMNLP 2020 Adaptive Neural Speech Enhancement with a Denoising Variational Autoencoder Interspeech 2020 A Dataset for Tracking Entities in Open Domain Procedural Text EMNLP 2020 A Decentralized Parallel Algorithm for Training Generative Adversarial Nets NeurIPS 2020 A Deep Generative Approach to Native Language Identification COLING 2020 A Deep Learning-Based Kalman Filter for Speech Enhancement Interspeech 2020 A dual-encoding system for dialect classification COLING 2020 Advancing High Fidelity Identity Swapping for Forgery Detection CVPR 2020 Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles CVPR 2020 Adversarial Feature Hallucination Networks for Few-Shot Learning CVPR 2020 Adversarial Latent Autoencoders CVPR 2020 Adversarial Latent Representation Learning for Speech Enhancement Interspeech 2020 Adversarial Learning on the Latent Space for Diverse Dialog Generation COLING 2020 Adversarial Lipschitz Regularization ICLR 2020 Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models NeurIPS 2020 AdversarialNAS: Adversarial Neural Architecture Search for GANs CVPR 2020 Adversarial Robustness of Flow-Based Generative Models AISTATS 2020 AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows NeurIPS 2020 AE-OT: A NEW GENERATIVE MODEL BASED ON EXTENDED SEMI-DISCRETE OPTIMAL TRANSPORT ICLR 2020 A Forest from the Trees: Generation through Neighborhoods AAAI 2020 A Free-Energy Principle for Representation Learning ICML 2020 A GAN-based Tunable Image Compression System WACV 2020 A Generative Framework for Zero Shot Learning with Adversarial Domain Adaptation WACV 2020 A Generative Model for Joint Natural Language Understanding and Generation ACL 2020