A. Ian McLeod

11 papers A* 2Journal 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Uniform Noise Distribution and Compact Clusters: Unveiling the Success of Self-Supervised Learning in Label Noise.
Trans. Mach. Learn. Res.
Pengcheng Xu, Li Yi, Gezheng Xu, Xi Chen, A. Ian McLeod, Charles Ling, Boyu Wang
2025 J jnl
Unraveling the Mysteries of Label Noise in Source-Free Domain Adaptation: Theory and Practice.
IEEE Trans. Pattern Anal. Mach. Intell.
Gezheng Xu, Li Yi, Pengcheng Xu, Jiaqi Li, Ruizhi Pu, Changjian Shui, A. Ian McLeod, Boyu Wang, Charles Ling
2023 A* conf
When Source-Free Domain Adaptation Meets Learning with Noisy Labels.
ICLR
Li Yi, Gezheng Xu, Pengcheng Xu, Jiaqi Li, Ruizhi Pu, Charles Ling, A. Ian McLeod, Boyu Wang
2023 J jnl
When Source-Free Domain Adaptation Meets Learning with Noisy Labels.
CoRR
Li Yi, Gezheng Xu, Pengcheng Xu, Jiaqi Li, Ruizhi Pu, Charles Ling, A. Ian McLeod, Boyu Wang
2022 A* conf
On Learning Contrastive Representations for Learning with Noisy Labels.
CVPR
Li Yi, Sheng Liu, Qi She, A. Ian McLeod, Boyu Wang
2022 J jnl
On Learning Contrastive Representations for Learning with Noisy Labels.
CoRR
Li Yi, Sheng Liu, Qi She, A. Ian McLeod, Boyu Wang
2013 J jnl
Developments in Maximum Likelihood Unit Root Tests.
Commun. Stat. Simul. Comput.
Ying Zhang, Hao Yu, A. Ian McLeod
2008 J jnl
Faster ARMA maximum likelihood estimation.
Comput. Stat. Data Anal.
A. Ian McLeod, Ying Zhang
2006 J jnl
Improved Pena-Rodriguez portmanteau test.
Comput. Stat. Data Anal.
Jen-Wen Lin, A. Ian McLeod
2005 J jnl
Power Computations for Intervention Analysis.
Technometrics
A. Ian McLeod, E. R. Vingilis
2001 J jnl
Mean likelihood estimators.
Stat. Comput.
A. Ian McLeod, Benoit Quenneville