Robertson, Neil M.

8 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

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

ECCV 2020 DADA: Differentiable Automatic Data Augmentation Yonggang Li, Guosheng Hu, Yongtao Wang, Timothy Hospedales, Neil M. Robertson, Yongxin Yang

ECCV 2020 Reducing Distributional Uncertainty by Mutual Information Maximisation and Transferable Feature Learning Jian Gao, Yang Hua, Guosheng Hu, Chi Wang, Neil M. Robertson

CVPRW 2020 Unsupervised Object Detection via LWIR/RGB Translation Rachael Abbott, Neil M. Robertson, Jesús Martínez del Rincón, Barry Connor

ICCV 2017 Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks Guosheng Hu, Yang Hua, Yang Yuan, Zhihong Zhang, Zheng Lu, Sankha S. Mukherjee, Timothy M. Hospedales, Neil M. Robertson, Yongxin Yang

CVPRW 2010 Contextual Smoothing of Image Segmentation Jonathan Letham, Neil M. Robertson, Barry Connor