Showing 2024Show all
2 papers · 1 filter
cs.LG2024
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning
Liangzu Peng, Juan Elenter, Joshua Agterberg +2
The goal of continual learning (CL) is to train a model that can solve multiple tasks presented sequentially. Recent CL approaches have achieved strong performance by leveraging la…
cs.CV2024
Scalable 3D Registration via Truncated Entry-wise Absolute Residuals
Tianyu Huang, Liangzu Peng, René Vidal +1
Given an input set of D point pairs, the goal of outlier-robust D registration is to compute some rotation and translation that align as many point pairs as possible. This is…