Representation Learning

Learning Distributions Generated by One-Layer ReLU Networks NeurIPS 2019 Learning Document Embeddings with Crossword Prediction AAAI 2019 Learning Dynamic Generator Model by Alternating Back-Propagation through Time AAAI 2019 Learning Embeddings into Entropic Wasserstein Spaces ICLR 2019 Learning Factorized Multimodal Representations ICLR 2019 LEARNING FACTORIZED REPRESENTATIONS FOR OPEN-SET DOMAIN ADAPTATION ICLR 2019 Learning Features and Abstract Actions for Computing Generalized Plans AAAI 2019 Learning Finite State Representations of Recurrent Policy Networks ICLR 2019 Learning Flexible Latent Representations via Encapsulated Variational Encoders AAAI 2019 Learning from brains how to regularize machines NeurIPS 2019 Learning (from) Deep Hierarchical Structure among Features AAAI 2019 Learning from demonstration with model-based Gaussian process CoRL 2019 Learning from Dialogue after Deployment: Feed Yourself, Chatbot! ACL 2019 Learning from Few Subjects with Large Amounts of Voice Monitoring Data MLHC 2019 Learning from Web Data Using Adversarial Discriminative Neural Networks for Fine-Grained Classification AAAI 2019 Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion ICLR 2019 Learning Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand Prediction AAAI 2019 Learning Hierarchical Discourse-level Structure for Fake News Detection NAACL 2019 Learning Hierarchical Priors in VAEs NeurIPS 2019 Learning How to Listen: A Temporal-Frequential Attention Model for Sound Event Detection Interspeech 2019 Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph Propagation IJCAI 2019 Learning Implicit Fields for Generative Shape Modeling CVPR 2019 Learning Implicit Generative Models by Matching Perceptual Features ICCV 2019 Learning Individual Styles of Conversational Gesture CVPR 2019 Learning interpretable continuous-time models of latent stochastic dynamical systems ICML 2019