Models

Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity NeurIPS 2020 Efficient Predictive Uncertainty Estimators for Deep Probabilistic Models AAAI 2020 Efficient Second-Order TreeCRF for Neural Dependency Parsing ACL 2020 Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee NeurIPS 2020 Efficient WaveGlow: An Improved WaveGlow Vocoder with Enhanced Speed Interspeech 2020 Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data NeurIPS 2020 Embodied Language Grounding With 3D Visual Feature Representations CVPR 2020 Empower Entity Set Expansion via Language Model Probing ACL 2020 Enabling Language Models to Fill in the Blanks ACL 2020 End-to-end NLP Pipelines in Rust EMNLP 2020 End-to-End Optimization of Scene Layout CVPR 2020 End-to-End Signal Factorization for Speech: Identity, Content, and Style IJCAI 2020 End-to-End Speech Translation with Adversarial Training ACL 2020 End-to-End Task-Oriented Dialog System Through Template Slot Value Generation Interspeech 2020 End-to-End Unpaired Image Denoising with Conditional Adversarial Networks AAAI 2020 Energy-based models for atomic-resolution protein conformations ICLR 2020 Energy-Based Processes for Exchangeable Data ICML 2020 ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation ACL 2020 Enhanced generative adversarial network for 3D brain MRI super-resolution WACV 2020 Enhancing Automated Essay Scoring Performance via Fine-tuning Pre-trained Language Models with Combination of Regression and Ranking EMNLP 2020 Ensemble Generative Cleaning With Feedback Loops for Defending Adversarial Attacks CVPR 2020 Entities as Experts: Sparse Memory Access with Entity Supervision EMNLP 2020 Episode-Based Prototype Generating Network for Zero-Shot Learning CVPR 2020 Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities ICML 2020 ERNIE 2.0: A Continual Pre-Training Framework for Language Understanding AAAI 2020