Representation Learning

A Dual Attention Network with Semantic Embedding for Few-Shot Learning AAAI 2019 Adversarial Decomposition of Text Representation NAACL 2019 Adversarial Discrete Sequence Generation without Explicit NeuralNetworks as Discriminators AISTATS 2019 Adversarial Examples Are Not Bugs, They Are Features NeurIPS 2019 Adversarial Fisher Vectors for Unsupervised Representation Learning NeurIPS 2019 Adversarial Unsupervised Representation Learning for Activity Time-Series AAAI 2019 Adverse Drug Effect and Personalized Health Mentions, CLaC at SMM4H 2019, Tasks 1 and 4 ACL 2019 AE2-Nets: Autoencoder in Autoencoder Networks CVPR 2019 AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations Rather Than Data CVPR 2019 Affine Equivariant Autoencoder IJCAI 2019 A framework for streamlined statistical prediction using topic models NAACL 2019 AFS: An Attention-Based Mechanism for Supervised Feature Selection AAAI 2019 A Generalized Idiom Usage Recognition Model Based on Semantic Compatibility AAAI 2019 A Generative Adversarial Density Estimator CVPR 2019 A Generative Model for Dynamic Networks with Applications AAAI 2019 A Generative Model For Electron Paths ICLR 2019 Agent-based Decision Support for Pain Management in Primary Care Settings IJCAI 2019 A Geometric Perspective on Optimal Representations for Reinforcement Learning NeurIPS 2019 A Gradual, Semi-Discrete Approach to Generative Network Training via Explicit Wasserstein Minimization ICML 2019 A Human-Like Semantic Cognition Network for Aspect-Level Sentiment Classification AAAI 2019 A Kernel Multiple Change-point Algorithm via Model Selection JMLR 2019 A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis EMNLP 2019 A Label Informative Wide & Deep Classifier for Patents and Papers EMNLP 2019 A Late Fusion CNN for Digital Matting CVPR 2019 A Latent Variable Model for Learning Distributional Relation Vectors IJCAI 2019