2.3k citations · 2.3k across the 9 of their papers we have counts for
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cs.LG2021★ 1 cited
On the power of adaptivity in statistical adversaries
Guy Blanc, Jane Lange, Ali Malik +1
We study a fundamental question concerning adversarial noise models in statistical problems where the algorithm receives i.i.d. draws from a distribution . The definit…
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.…