Embedding Learning

Word Ordering as Unsupervised Learning Towards Syntactically Plausible Word Representations IJCNLP 2017 Word Re-Embedding via Manifold Dimensionality Retention EMNLP 2017 Zero-Inflated Exponential Family Embeddings ICML 2017 Acoustic Word Embeddings for ASR Error Detection Interspeech 2016 A Distribution-based Model to Learn Bilingual Word Embeddings COLING 2016 A Neural Network Approach for Knowledge-Driven Response Generation COLING 2016 An Investigation of Recurrent Neural Network Architectures Using Word Embeddings for Phrase Break Prediction Interspeech 2016 Automatic Labelling of Topics with Neural Embeddings COLING 2016 Bad Company—Neighborhoods in Neural Embedding Spaces Considered Harmful COLING 2016 Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations ICML 2016 Beyond CCA: Moment Matching for Multi-View Models ICML 2016 Binary embeddings with structured hashed projections ICML 2016 Collaborative Quantization for Cross-Modal Similarity Search CVPR 2016 Collaborative Recurrent Neural Networks for Dynamic Recommender Systems ACML 2016 Complex Embeddings for Simple Link Prediction ICML 2016 Cross-Graph Learning of Multi-Relational Associations ICML 2016 Data driven estimation of Laplace-Beltrami operator NeurIPS 2016 Deep Metric Learning via Lifted Structured Feature Embedding CVPR 2016 Dialogue Session Segmentation by Embedding-Enhanced TextTiling Interspeech 2016 Discriminative Embeddings of Latent Variable Models for Structured Data ICML 2016 Distributed Representations for Building Profiles of Users and Items from Text Reviews COLING 2016 Distributional Hypernym Generation by Jointly Learning Clusters and Projections COLING 2016 Distribution-Matching Embedding for Visual Domain Adaptation JMLR 2016 Embedding Label Structures for Fine-Grained Feature Representation CVPR 2016 Enriching Phrase Tables for Statistical Machine Translation Using Mixed Embeddings COLING 2016