2 papers
cs.LG2025
Compact Recurrent Transformer with Persistent Memory
Edison Mucllari, Zachary Daniels, David Zhang +1
The Transformer architecture has shown significant success in many language processing and visual tasks. However, the method faces challenges in efficiently scaling to long sequenc…
cs.LG2025
Noise-Tolerant Coreset-Based Class Incremental Continual Learning
Edison Mucllari, Aswin Raghavan, Zachary Alan Daniels
Many applications of computer vision require the ability to adapt to novel data distributions after deployment. Adaptation requires algorithms capable of continual learning (CL). C…