Search Results for author: David Williams-King

Found 2 papers, 1 papers with code

XDA: Accurate, Robust Disassembly with Transfer Learning

1 code implementation2 Oct 2020 Kexin Pei, Jonas Guan, David Williams-King, Junfeng Yang, Suman Jana

We present XDA, a transfer-learning-based disassembly framework that learns different contextual dependencies present in machine code and transfers this knowledge for accurate and robust disassembly.

Language Modelling Masked Language Modeling +2

Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network

no code implementations23 May 2019 Oscar Chang, Yuling Yao, David Williams-King, Hod Lipson

Two main obstacles preventing the widespread adoption of variational Bayesian neural networks are the high parameter overhead that makes them infeasible on large networks, and the difficulty of implementation, which can be thought of as "programming overhead."

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