7 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 2 cited
Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning
Mustafa Safa Ozdayi, Charith Peris, Jack FitzGerald +5
Large Language Models (LLMs) are known to memorize significant portions of their training data. Parts of this memorized content have been shown to be extractable by simply querying…
stat.ML2016★ 7 cited
Learning Determinantal Point Processes in Sublinear Time
Christophe Dupuy, Francis Bach
We propose a new class of determinantal point processes (DPPs) which can be manipulated for inference and parameter learning in potentially sublinear time in the number of items. T…
stat.ML2016★ 1 cited
Decentralized Topic Modelling with Latent Dirichlet Allocation
Igor Colin, Christophe Dupuy
Privacy preserving networks can be modelled as decentralized networks (e.g., sensors, connected objects, smartphones), where communication between nodes of the network is not contr…