representation learning

Learning to Localize Through Compressed Binary Maps CVPR 2019 Learning to Manipulate Object Collections Using Grounded State Representations CoRL 2019 Learning to Navigate Using Mid-Level Visual Priors CoRL 2019 Learning to Predict Novel Noun-Noun Compounds ACL 2019 Learning to Predict Without Looking Ahead: World Models Without Forward Prediction NeurIPS 2019 Learning to Represent Edits ICLR 2019 Learning To Solve Circuit-SAT: An Unsupervised Differentiable Approach ICLR 2019 Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially AAAI 2019 Learning what you can do before doing anything ICLR 2019 LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning ICML 2019 Lifelong Optimization with Low Regret AISTATS 2019 Lightly-supervised Representation Learning with Global Interpretability NAACL 2019 Linkage Based Face Clustering via Graph Convolution Network CVPR 2019 Linking artificial and human neural representations of language EMNLP 2019 Local Temporal Bilinear Pooling for Fine-Grained Action Parsing CVPR 2019 Look Again at the Syntax: Relational Graph Convolutional Network for Gendered Ambiguous Pronoun Resolution ACL 2019 Lorentzian Distance Learning for Hyperbolic Representations ICML 2019 Loss Landscapes of Regularized Linear Autoencoders ICML 2019 Low-Dimensional Density Ratio Estimation for Covariate Shift Correction AISTATS 2019 LSTMEmbed: Learning Word and Sense Representations from a Large Semantically Annotated Corpus with Long Short-Term Memories ACL 2019 Manifold Mixup: Better Representations by Interpolating Hidden States ICML 2019 Marginalized Latent Semantic Encoder for Zero-Shot Learning CVPR 2019 Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection ICLR 2019 Measuring Compositionality in Representation Learning ICLR 2019 Measuring Semantic Abstraction of Multilingual NMT with Paraphrase Recognition and Generation Tasks NAACL 2019