10.6k citations
- Laboratoire Traitement et Communication de l’InformationFR516 papers
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4 papers · 2 filters
Adversarial Robustness via Label-Smoothing
Morgane Goibert, Elvis Dohmatob
We study Label-Smoothing as a means for improving adversarial robustness of supervised deep-learning models. After establishing a thorough and unified framework, we propose several…
WikiDataSets: Standardized sub-graphs from Wikidata
Armand Boschin, Thomas Bonald
Developing new ideas and algorithms in the fields of graph processing and relational learning requires public datasets. While Wikidata is the largest open source knowledge graph, i…
Resource-aware Elastic Swap Random Forest for Evolving Data Streams
Diego Marrón, Eduard Ayguadé, José Ramon Herrero +1
Continual learning based on data stream mining deals with ubiquitous sources of Big Data arriving at high-velocity and in real-time. Adaptive Random Forest ({\em ARF}) is a popular…
Variational Recurrent Neural Networks for Graph Classification
Edouard Pineau, Nathan de Lara
We address the problem of graph classification based only on structural information. Inspired by natural language processing techniques (NLP), our model sequentially embeds informa…