← Core Methods
Machine Learning › Core Methods ›

Embedding Learning

3751 directly classified papers

Papers per year

Papers

Auto-Encoding Dictionary Definitions into Consistent Word Embeddings EMNLP 2018
Streaming word similarity mining on the cheap EMNLP 2018
Quantifying Context Overlap for Training Word Embeddings EMNLP 2018
Zero-Shot Visual Recognition Using Semantics-Preserving Adversarial Embedding Networks CVPR 2018
Recurrent Pixel Embedding for Instance Grouping CVPR 2018
Enhancing Semantic Representations of Bilingual Word Embeddings with Syntactic Dependencies IJCAI 2018
Think Globally, Embed Locally --- Locally Linear Meta-embedding of Words IJCAI 2018
Why is unsupervised alignment of English embeddings from different algorithms so hard? EMNLP 2018
NORMA: Neighborhood Sensitive Maps for Multilingual Word Embeddings EMNLP 2018
Improving Cross-Lingual Word Embeddings by Meeting in the Middle EMNLP 2018
Local Descriptors Optimized for Average Precision CVPR 2018
Video Person Re-Identification With Competitive Snippet-Similarity Aggregation and Co-Attentive Snippet Embedding CVPR 2018
End-to-end Differentiable Proving NIPS 2017
Context Selection for Embedding Models NIPS 2017
Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts NIPS 2017
Hierarchical Embeddings for Hypernymy Detection and Directionality EMNLP 2017
Predicting Word Association Strengths EMNLP 2017
PRUNE: Preserving Proximity and Global Ranking for Network Embedding NIPS 2017
Multi-view Matrix Factorization for Linear Dynamical System Estimation NIPS 2017
Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics EMNLP 2017
Bib2vec: Embedding-based Search System for Bibliographic Information EACL 2017
Rotated Word Vector Representations and their Interpretability EMNLP 2017
Incremental Matrix Factorization: A Linear Feature Transformation Perspective IJCAI 2017
Query-by-Example Search with Discriminative Neural Acoustic Word Embeddings INTERSPEECH 2017
Lexical Sememe Prediction via Word Embeddings and Matrix Factorization IJCAI 2017