2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2021★ 1 cited
Unsupervised Robust Domain Adaptation without Source Data
Peshal Agarwal, Danda Pani Paudel, Jan-Nico Zaech +1
We study the problem of robust domain adaptation in the context of unavailable target labels and source data. The considered robustness is against adversarial perturbations. This p…
cs.LG2020★ 2 cited
SnapBoost: A Heterogeneous Boosting Machine
Thomas Parnell, Andreea Anghel, Malgorzata Lazuka +5
Modern gradient boosting software frameworks, such as XGBoost and LightGBM, implement Newton descent in a functional space. At each boosting iteration, their goal is to find the ba…