Models

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 Age Progression and Regression with Spatial Attention Modules AAAI 2020 Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers AAAI 2020 Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware Autoencoder IJCAI 2020 A Graph Auto-encoder Model of Derivational Morphology ACL 2020 AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network EMNLP 2020 AI Sensing for Robotics using Deep Learning based Visual and Language Modeling ACL 2020 A Learning Strategy for Contrast-agnostic MRI Segmentation MIDL 2020 Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract) IJCAI 2020 AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows AAAI 2020 A Little Fog for a Large Turn WACV 2020 Alleviation of Gradient Exploding in GANs: Fake Can Be Real CVPR 2020 A Loss Function for Generative Neural Networks Based on Watson’s Perceptual Model NeurIPS 2020 Alternating Language Modeling for Cross-Lingual Pre-Training AAAI 2020 A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages ACL 2020 Amortized Inference of Variational Bounds for Learning Noisy-OR AISTATS 2020 Amortized Population Gibbs Samplers with Neural Sufficient Statistics ICML 2020 Amortized variance reduction for doubly stochastic objective UAI 2020 Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks NeurIPS 2020 Analyzing and Improving the Image Quality of StyleGAN CVPR 2020