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stat.ML2017
Context encoders as a simple but powerful extension of word2vec
Franziska Horn
With a simple architecture and the ability to learn meaningful word embeddings efficiently from texts containing billions of words, word2vec remains one of the most popular neural…
stat.ML2017★ 5 cited
Predicting Pairwise Relations with Neural Similarity Encoders
Franziska Horn, Klaus-Robert Müller
Matrix factorization is at the heart of many machine learning algorithms, for example, dimensionality reduction (e.g. kernel PCA) or recommender systems relying on collaborative fi…