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20182025
most citedImproving Collaborative Metric Learning with Efficient Negative Sampling

21 citations · 75 across the 13 of their papers we have counts for

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5 papers · 1 filter

cs.LG2021★ 1 cited

Personalized breath based biometric authentication with wearable multimodality

Manh-Ha Bui, Viet-Anh Tran, Cuong Pham

Breath with nose sound features has been shown as a potential biometric in personal identification and verification. In this paper, we show that information that comes from other m…

cs.LG2021★ 6 cited

Improving Transformers with Probabilistic Attention Keys

Tam Nguyen, Tan M. Nguyen, Dung D. Le +5

Multi-head attention is a driving force behind state-of-the-art transformers, which achieve remarkable performance across a variety of natural language processing (NLP) and compute…

cs.LG2021★ 19 cited

Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders

Guillaume Salha-Galvan, Romain Hennequin, Benjamin Chapus +2

On an artist's profile page, music streaming services frequently recommend a ranked list of "similar artists" that fans also liked. However, implementing such a feature is challeng…

cs.LG2019

Gravity-Inspired Graph Autoencoders for Directed Link Prediction

Guillaume Salha, Stratis Limnios, Romain Hennequin +2

Graph autoencoders (AE) and variational autoencoders (VAE) recently emerged as powerful node embedding methods. In particular, graph AE and VAE were successfully leveraged to tackl…

cs.LG2019

A Degeneracy Framework for Scalable Graph Autoencoders

Guillaume Salha, Romain Hennequin, Viet Anh Tran +1

In this paper, we present a general framework to scale graph autoencoders (AE) and graph variational autoencoders (VAE). This framework leverages graph degeneracy concepts to train…