Embedding Learning

Learning Aggregation Functions IJCAI 2021 Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding ICCV 2021 Learning Compatible Embeddings ICCV 2021 Learning Contextualised Cross-lingual Word Embeddings and Alignments for Extremely Low-Resource Languages Using Parallel Corpora EMNLP 2021 Learning Deep Local Features With Multiple Dynamic Attentions for Large-Scale Image Retrieval ICCV 2021 Learning Dense Representations of Phrases at Scale ACL 2021 Learning Embeddings for Rare Words Leveraging Internet Search Engine and Spatial Location Relationships ACL 2021 Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes IJCAI 2021 Learning Faithful Representations of Causal Graphs ACL 2021 Learning Feature Aggregation for Deep 3D Morphable Models CVPR 2021 Learning Graph Embeddings for Compositional Zero-Shot Learning CVPR 2021 Learning grounded word meaning representations on similarity graphs EMNLP 2021 Learning Intra-Batch Connections for Deep Metric Learning ICML 2021 Learning Mathematical Properties of Integers EMNLP 2021 Learning Numeracy: A Simple Yet Effective Number Embedding Approach Using Knowledge Graph EMNLP 2021 Learning Paralinguistic Features from Audiobooks through Style Voice Conversion NAACL 2021 Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression CVPR 2021 Learning Progressive Point Embeddings for 3D Point Cloud Generation CVPR 2021 Learning Similarity between Movie Characters and Its Potential Implications on Understanding Human Experiences NAACL 2021 Learning Stochastic Equivalence based on Discrete Ricci Curvature IJCAI 2021 Learning Syntactic Dense Embedding with Correlation Graph for Automatic Readability Assessment ACL 2021 Learning Term Embeddings for Lexical Taxonomies AAAI 2021 Learning the Best Pooling Strategy for Visual Semantic Embedding CVPR 2021 Learning the Predictability of the Future CVPR 2021 Learning to Distill Convolutional Features Into Compact Local Descriptors WACV 2021