← Core Methods
Machine Learning › Core Methods ›

Embedding Learning

3751 directly classified papers

Papers per year

Papers

Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network NIPS 2020
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation NIPS 2020
Hyperbolic Visual Embedding Learning for Zero-Shot Recognition CVPR 2020
A Graph-based Coarse-to-fine Method for Unsupervised Bilingual Lexicon Induction ACL 2020
Should All Cross-Lingual Embeddings Speak English? ACL 2020
Treebank Embedding Vectors for Out-of-Domain Dependency Parsing ACL 2020
RPD: A Distance Function Between Word Embeddings ACL 2020
Evaluating Word Embeddings for Language Acquisition EMNLP 2020
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings NIPS 2020
Unsupervised Training of Siamese Networks for Speaker Verification INTERSPEECH 2020
Norm-Aware Embedding for Efficient Person Search CVPR 2020
Partially View-aligned Clustering NIPS 2020
It’s not Greek to mBERT: Inducing Word-Level Translations from Multilingual BERT EMNLP 2020
Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays EMNLP 2020
Hype-HAN: Hyperbolic Hierarchical Attention Network for Semantic Embedding IJCAI 2020
Representation learning of writing style EMNLP 2020
Inductive Link Prediction for Nodes Having Only Attribute Information IJCAI 2020
Knowledge Hypergraphs: Prediction Beyond Binary Relations IJCAI 2020
On Deep Unsupervised Active Learning IJCAI 2020
Surfacing Privacy Settings Using Semantic Matching EMNLP 2020
Improving Knowledge Tracing via Pre-training Question Embeddings IJCAI 2020
A Relational Memory-based Embedding Model for Triple Classification and Search Personalization ACL 2020
BiRRE: Learning Bidirectional Residual Relation Embeddings for Supervised Hypernymy Detection ACL 2020
A Greedy Bit-flip Training Algorithm for Binarized Knowledge Graph Embeddings EMNLP 2020
Entity Attribute Relation Extraction with Attribute-Aware Embeddings EMNLP 2020