8 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.LG2023
PruMUX: Augmenting Data Multiplexing with Model Compression
Yushan Su, Vishvak Murahari, Karthik Narasimhan +1
As language models increase in size by the day, methods for efficient inference are critical to leveraging their capabilities for various applications. Prior work has investigated…
cs.LG2020★ 8 cited
Privacy-preserving Learning via Deep Net Pruning
Yangsibo Huang, Yushan Su, Sachin Ravi +3
This paper attempts to answer the question whether neural network pruning can be used as a tool to achieve differential privacy without losing much data utility. As a first step to…