Embedding Learning

Corpus Design Using Convolutional Auto-Encoder Embeddings for Audio-Book Synthesis Interspeech 2019 Correlated Variational Auto-Encoders ICML 2019 Correlations between Word Vector Sets EMNLP 2019 Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing ACL 2019 CPM-Nets: Cross Partial Multi-View Networks NeurIPS 2019 Cross-Domain 3D Equivariant Image Embeddings ICML 2019 Cross-Domain Modeling of Sentence-Level Evidence for Document Retrieval EMNLP 2019 Cross-Lingual, Multi-Speaker Text-To-Speech Synthesis Using Neural Speaker Embedding Interspeech 2019 Cross-Lingual Word Embeddings and the Structure of the Human Bilingual Lexicon CoNLL 2019 Cross-Modality Personalization for Retrieval CVPR 2019 Cross-Modal Relationship Inference for Grounding Referring Expressions CVPR 2019 Cross-View Local Structure Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection AAAI 2019 DAN: Deep Attention Neural Network for News Recommendation AAAI 2019 DANE: Domain Adaptive Network Embedding IJCAI 2019 Data-Adaptive Metric Learning with Scale Alignment AAAI 2019 Data Poisoning Attack against Knowledge Graph Embedding IJCAI 2019 DBee: A Database for Creating and Managing Knowledge Graphs and Embeddings EMNLP 2019 Debiasing Embeddings for Reduced Gender Bias in Text Classification ACL 2019 Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models ICML 2019 Deep Asymmetric Metric Learning via Rich Relationship Mining CVPR 2019 DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System AAAI 2019 Deep Clustering by Gaussian Mixture Variational Autoencoders With Graph Embedding ICCV 2019 Deep Embedding Features for Salient Object Detection AAAI 2019 Deep Embedding Learning With Discriminative Sampling Policy CVPR 2019 Deep Generalized Canonical Correlation Analysis ACL 2019