ML Anthology

Wang, Xinshao

5 publications

ICLRW 2023 IMAE for Noise-Robust Learning: Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters Xinshao Wang, Yang Hua, Elyor Kodirov, David A. Clifton, Neil M. Robertson
NeurIPS 2022 Misspecified Phase Retrieval with Generative Priors Zhaoqiang Liu, Xinshao Wang, Jiulong Liu
NeurIPSW 2022 Not All Knowledge Is Created Equal: Mutual Distillation of Confident Knowledge Ziyun Li, Xinshao Wang, Di Hu, Neil M. Robertson, David A. Clifton, Christoph Meinel, Haojin Yang
CVPR 2021 ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks Xinshao Wang, Yang Hua, Elyor Kodirov, David A. Clifton, Neil M. Robertson
AAAI 2019 Deep Metric Learning by Online Soft Mining and Class-Aware Attention Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Neil Martin Robertson