Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Word Embeddings based on Fixed-Size Ordinally Forgetting Encoding
The Fixed-Size Ordinally-Forgetting Encoding Method for Neural Network Language Models
An Exploration of Word Embedding Initialization in Deep-Learning Tasks
Controlled Experiments for Word Embeddings
Knowledge-Powered Deep Learning for Word Embedding
WordRank: Learning Word Embeddings via Robust Ranking
RAND-WALK: A Latent Variable Model Approach to Word Embeddings
Ultradense Word Embeddings by Orthogonal Transformation
Wiktionary-Based Word Embeddings
Improve Chinese Word Embeddings by Exploiting Internal Structure
Hash Embeddings for Efficient Word Representations
Active Discriminative Word Embedding Learning
Effective Dimensionality Reduction for Word Embeddings
Streaming Word Embeddings with the Space-Saving Algorithm
Evaluation methods for unsupervised word embeddings
Dynamic Word Embeddings
The Role of Context Types and Dimensionality in Learning Word Embeddings
Socialized Word Embeddings
Translation Invariant Word Embeddings
One-shot and few-shot learning of word embeddings
A Fixed-Size Encoding Method for Variable-Length Sequences with its Application to Neural Network Language Models
Bacterial foraging based approaches to portfolio optimization with liquidity risk
Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to Probe and Learn Neural Networks
Truth in Web Mining: Measuring the Profitability and Cost of Cryptominers as a Web Monetization Model
Spatial Deep Learning for Wireless Scheduling
Variational Dropout Sparsifies Deep Neural Networks