2.3k citations · 2.3k across the 4 of their papers we have counts for
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cs.LG2023★ 1 cited
DP-TBART: A Transformer-based Autoregressive Model for Differentially Private Tabular Data Generation
Rodrigo Castellon, Achintya Gopal, Brian Bloniarz +1
The generation of synthetic tabular data that preserves differential privacy is a problem of growing importance. While traditional marginal-based methods have achieved impressive r…
cs.LG2021★ 2.3k cited
On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli +111
AI is undergoing a paradigm shift with the rise of models (e.g., BERT, DALL-E, GPT-3) that are trained on broad data at scale and are adaptable to a wide range of downstream tasks.…