Drew, Steve

6 publications

AAAI 2025 HVAdam: A Full-Dimension Adaptive Optimizer Yiheng Zhang, Shaowu Wu, Yuanzhuo Xu, Jiajun Wu, Shang Xu, Steve Drew, Xiaoguang Niu

AAAI 2025 Revisiting Interpolation for Noisy Label Correction Yuanzhuo Xu, Xiaoguang Niu, Jie Yang, Ruiyi Su, Jian Zhang, Shubo Liu, Steve Drew

TMLR 2025 Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems Farzaneh Dehghani, Mahsa Dibaji, Fahim Anzum, Lily Dey, Alican Basdemir, Sayeh Bayat, Jean-Christophe Boucher, Steve Drew, Sarah Elaine Eaton, Richard Frayne, Gouri Ginde, Ashley D. Harris, Yani Ioannou, Catherine A Lebel, John T. Lysack, Leslie Salgado, Emma A.M. Stanley, Roberto Souza, Ronnie de Souza Santos, Lana Wells, Tyler Williamson, Matthias Wilms, Mark Ungrin, Marina Gavrilova, Mariana Bento

TMLR 2024 SelfXit: An Unsupervised Early Exit Mechanism for Deep Neural Networks Hossein KhademSohi, Mohammadamin Abedi, Yani Ioannou, Steve Drew, Pooyan Jamshidi, Hadi Hemmati

AAAI 2023 USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning Yuanzhuo Xu, Xiaoguang Niu, Jie Yang, Steve Drew, Jiayu Zhou, Ruizhi Chen

ICML 2022 Resilient and Communication Efficient Learning for Heterogeneous Federated Systems Zhuangdi Zhu, Junyuan Hong, Steve Drew, Jiayu Zhou