Models

On Implicit Regularization in $β$-VAEs ICML 2020 Online Conversation Disentanglement with Pointer Networks EMNLP 2020 On Loss Functions and Recurrency Training for GAN-Based Speech Enhancement Systems Interspeech 2020 On Positive-Unlabeled Classification in GAN CVPR 2020 On Relativistic f-Divergences ICML 2020 On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models AAAI 2020 On the Complementary Nature of Knowledge Graph Embedding, Fine Grain Entity Types, and Language Modeling EMNLP 2020 On the Discrepancy between Density Estimation and Sequence Generation EMNLP 2020 On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond ACL 2020 On the Expressiveness of Approximate Inference in Bayesian Neural Networks NeurIPS 2020 On the Importance of Diversity in Question Generation for QA ACL 2020 On the Interplay Between Fine-tuning and Sentence-Level Probing for Linguistic Knowledge in Pre-Trained Transformers EMNLP 2020 On the Language Neutrality of Pre-trained Multilingual Representations EMNLP 2020 On the Need for Topology-Aware Generative Models for Manifold-Based Defenses ICLR 2020 On the Power of Compressed Sensing with Generative Models ICML 2020 On the Sentence Embeddings from Pre-trained Language Models EMNLP 2020 On the "steerability" of generative adversarial networks ICLR 2020 Optimal transport mapping via input convex neural networks ICML 2020 Optimal Variance Control of the Score-Function Gradient Estimator for Importance-Weighted Bounds NeurIPS 2020 Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space EMNLP 2020 Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings CVPR 2020 Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator UAI 2020 PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation EMNLP 2020 Panoptic-Based Image Synthesis CVPR 2020 Paraphrase Augmented Task-Oriented Dialog Generation ACL 2020