Embedding Learning

Explaining the Trump Gap in Social Distancing Using COVID Discourse EMNLP 2020 Exploiting Sentence Order in Document Alignment EMNLP 2020 Exploiting WordNet Synset and Hypernym Representations for Answer Selection AACL 2020 Exploring Neural Entity Representations for Semantic Information EMNLP 2020 Exploring Semantic Capacity of Terms EMNLP 2020 Exploring the Value of Personalized Word Embeddings COLING 2020 Exponential Family Graph Embeddings AAAI 2020 Expressing Objects Just Like Words: Recurrent Visual Embedding for Image-Text Matching AAAI 2020 Facial Attribute Capsules for Noise Face Super Resolution AAAI 2020 Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data AAAI 2020 Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback AAAI 2020 Faster Graph Embeddings via Coarsening ICML 2020 Federated Learning with Only Positive Labels ICML 2020 Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies NeurIPS 2020 Few-Shot Knowledge Graph Completion AAAI 2020 Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions CVPR 2020 Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network AAAI 2020 Flexible retrieval with NMSLIB and FlexNeuART EMNLP 2020 Focusing on Detail: Deep Hashing Based on Multiple Region Details (Student Abstract) AAAI 2020 From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering NeurIPS 2020 Gaussian Embedding of Linked Documents from a Pretrained Semantic Space IJCAI 2020 Generalized probabilistic principal component analysis of correlated data JMLR 2020 Generalized Product Quantization Network for Semi-Supervised Image Retrieval CVPR 2020 General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference EMNLP 2020 Generating Dialogue Responses from a Semantic Latent Space EMNLP 2020