Shrivastava, Akshat

5 publications

ICML 2024 PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs Charlie Hou, Akshat Shrivastava, Hongyuan Zhan, Rylan Conway, Trang Le, Adithya Sagar, Giulia Fanti, Daniel Lazar

ICLRW 2024 PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs Charlie Hou, Akshat Shrivastava, Hongyuan Zhan, Rylan Conway, Trang Le, Adithya Sagar, Giulia Fanti, Daniel Lazar

ICLRW 2023 Privately Customizing Prefinetuning to Better Match User Data in Federated Learning Charlie Hou, Hongyuan Zhan, Akshat Shrivastava, Sid Wang, Aleksandr Livshits, Giulia Fanti, Daniel Lazar

ICLR 2021 Better Fine-Tuning by Reducing Representational Collapse Armen Aghajanyan, Akshat Shrivastava, Anchit Gupta, Naman Goyal, Luke Zettlemoyer, Sonal Gupta

ICMLW 2021 Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization David Eriksson, Pierce I-Jen Chuang, Samuel Daulton, Peng Xia, Akshat Shrivastava, Arun Babu, Shicong Zhao, Ahmed A Aly, Ganesh Venkatesh, Maximilian Balandat