21 citations · 25 across the 5 of their papers we have counts for
6 papers
Derailing Non-Answers via Logit Suppression at Output Subspace Boundaries in RLHF-Aligned Language Models
Harvey Dam, Jonas Knochelmann, Vinu Joseph +1
We introduce a method to reduce refusal rates of large language models (LLMs) on sensitive content without modifying model weights or prompts. Motivated by the observation that ref…
Understanding the Effect of the Long Tail on Neural Network Compression
Harvey Dam, Vinu Joseph, Aditya Bhaskara +3
Network compression is now a mature sub-field of neural network research: over the last decade, significant progress has been made towards reducing the size of models and speeding…
ArctyrEX : Accelerated Encrypted Execution of General-Purpose Applications
Charles Gouert, Vinu Joseph, Steven Dalton +3
Fully Homomorphic Encryption (FHE) is a cryptographic method that guarantees the privacy and security of user data during computation. FHE algorithms can perform unlimited arithmet…
Going Beyond Classification Accuracy Metrics in Model Compression
Vinu Joseph, Shoaib Ahmed Siddiqui, Aditya Bhaskara +5
With the rise in edge-computing devices, there has been an increasing demand to deploy energy and resource-efficient models. A large body of research has been devoted to developing…
A Programmable Approach to Neural Network Compression
Vinu Joseph, Saurav Muralidharan, Animesh Garg +2
Deep neural networks (DNNs) frequently contain far more weights, represented at a higher precision, than are required for the specific task which they are trained to perform. Conse…
Message Scheduling for Performant, Many-Core Belief Propagation
Mark Van der Merwe, Vinu Joseph, Ganesh Gopalakrishnan
Belief Propagation (BP) is a message-passing algorithm for approximate inference over Probabilistic Graphical Models (PGMs), finding many applications such as computer vision, erro…