2 papers
cs.LG2024
Robustness Reprogramming for Representation Learning
Zhichao Hou, MohamadAli Torkamani, Hamid Krim +1
This work tackles an intriguing and fundamental open challenge in representation learning: Given a well-trained deep learning model, can it be reprogrammed to enhance its robustnes…
cs.LG2024
HLogformer: A Hierarchical Transformer for Representing Log Data
Zhichao Hou, Mina Ghashami, Mikhail Kuznetsov +1
Transformers have gained widespread acclaim for their versatility in handling diverse data structures, yet their application to log data remains underexplored. Log data, characteri…