Models

Learning Weighted Submanifolds With Variational Autoencoders and Riemannian Variational Autoencoders CVPR 2020 Leveraging 2D Data to Learn Textured 3D Mesh Generation CVPR 2020 Lifted Hybrid Variational Inference IJCAI 2020 Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation NeurIPS 2020 Likelihood Ratios and Generative Classifiers for Unsupervised Out-of-Domain Detection in Task Oriented Dialog AAAI 2020 Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder NeurIPS 2020 Linear Disentangled Representations and Unsupervised Action Estimation NeurIPS 2020 Linear Time Sinkhorn Divergences using Positive Features NeurIPS 2020 Listening to Sounds of Silence for Speech Denoising NeurIPS 2020 Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation CVPR 2020 Locally Masked Convolution for Autoregressive Models UAI 2020 Low Bias Low Variance Gradient Estimates for Boolean Stochastic Networks ICML 2020 Low Distortion Block-Resampling with Spatially Stochastic Networks NeurIPS 2020 Low-Resource Translation as Language Modeling EMNLP 2020 ManiGAN: Text-Guided Image Manipulation CVPR 2020 MarioNETte: Few-Shot Face Reenactment Preserving Identity of Unseen Targets AAAI 2020 Markovian Score Climbing: Variational Inference with KL(p||q) NeurIPS 2020 Mask CTC: Non-Autoregressive End-to-End ASR with CTC and Mask Predict Interspeech 2020 Masked Language Model Scoring ACL 2020 MaskGAN: Towards Diverse and Interactive Facial Image Manipulation CVPR 2020 MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model CVPR 2020 McFlow: Monte Carlo Flow Models for Data Imputation CVPR 2020 MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models EMNLP 2020 Meta-Amortized Variational Inference and Learning AAAI 2020 Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation AAAI 2020