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Embedding Learning

3751 directly classified papers

Papers per year

Papers

Understanding the Source of Semantic Regularities in Word Embeddings CONLL 2020
Localize, Assemble, and Predicate: Contextual Object Proposal Embedding for Visual Relation Detection AAAI 2020
Robust Document Distance with Wasserstein-Fisher-Rao metric ACML 2020
Proxy Network for Few Shot Learning ACML 2020
An Ensemble Method for Producing Word Representations focusing on the Greek Language AACL 2020
Interpretable Multimodal Learning for Intelligent Regulation in Online Payment Systems IJCAI 2020
IR&TM-NJUST@CLSciSumm 20 EMNLP 2020
Beyond Fine-tuning: Few-Sample Sentence Embedding Transfer AACL 2020
Link Prediction between Group Entities in Knowledge Graphs (Student Abstract) AAAI 2020
Multi-Channel Reverse Dictionary Model AAAI 2020
Contextual Parameter Generation for Knowledge Graph Link Prediction AAAI 2020
Representing Closed Transformation Paths in Encoded Network Latent Space AAAI 2020
ParamE: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion AAAI 2020
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction AAAI 2020
Deep Message Passing on Sets AAAI 2020
Glyph2Vec: Learning Chinese Out-of-Vocabulary Word Embedding from Glyphs ACL 2020
Diachronic Embedding for Temporal Knowledge Graph Completion AAAI 2020
Unsupervised Attributed Multiplex Network Embedding AAAI 2020
Revisiting the Context Window for Cross-lingual Word Embeddings ACL 2020
A Variational Autoencoder with Deep Embedding Model for Generalized Zero-Shot Learning AAAI 2020
Deep Match to Rank Model for Personalized Click-Through Rate Prediction AAAI 2020
BoxE: A Box Embedding Model for Knowledge Base Completion NIPS 2020
Multi-Feature Discrete Collaborative Filtering for Fast Cold-Start Recommendation AAAI 2020
Scalable Probabilistic Matrix Factorization with Graph-Based Priors AAAI 2020
Learning Geometric Word Meta-Embeddings ACL 2020