1 code implementation • 16 Jun 2023 • Victor Quach, Adam Fisch, Tal Schuster, Adam Yala, Jae Ho Sohn, Tommi S. Jaakkola, Regina Barzilay
Translating this process to conformal prediction, we calibrate a stopping rule for sampling different outputs from the LM that get added to a growing set of candidates until we are confident that the output set is sufficient.
no code implementations • 31 Mar 2023 • Homa Esfahanizadeh, Adam Yala, Rafael G. L. D'Oliveira, Andrea J. D. Jaba, Victor Quach, Ken R. Duffy, Tommi S. Jaakkola, Vinod Vaikuntanathan, Manya Ghobadi, Regina Barzilay, Muriel Médard
Allowing organizations to share their data for training of machine learning (ML) models without unintended information leakage is an open problem in practice.
no code implementations • 28 Jan 2022 • Adam Yala, Victor Quach, Homa Esfahanizadeh, Rafael G. L. D'Oliveira, Ken R. Duffy, Muriel Médard, Tommi S. Jaakkola, Regina Barzilay
We quantify privacy as the number of attacker guesses required to re-identify a single image (guesswork).
1 code implementation • EMNLP 2020 • Tianxiao Shen, Victor Quach, Regina Barzilay, Tommi Jaakkola
We propose Blank Language Model (BLM), a model that generates sequences by dynamically creating and filling in blanks.