Official Code for Paper: Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications

multi-focus image fusion using dictionary learning and low-rank representation(ICIG 2017, Shanghai)

Regularized Multi-task Learning in R

Master's thesis 'Low rank- and sparsity-based image registration'

Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation

Deep learning models have become state of the art for natural language processing (NLP) tasks, however deploying these models in production system poses significant memory constraints. Existing compression methods are either lossy or introduce significant latency. We propose a compression method that leverages low rank matrix factorization durin…