Neil M. Robertson
7 papers · 2017–2021 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(17)
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Hot Topic Early Bird
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Conference Pioneer
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Research topics
Deep Learning
(4)
Machine Learning
(4)
Learning Types · Deep Learning
(4)
Computer Vision
(3)
Analysis
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Optimization & Theory · Machine Learning
(2)
Bayesian & Probabilistic
(1)
Core AI
(1)
Optimization & Theory · Deep Learning
(1)
Techniques
(1)
Keywords
deep metric learning
(2)
similarity learning
(1)
embedding learning
(1)
self-supervised learning
(1)
person re-identification
(1)
semantic alignment
(1)
facial landmark detection
(1)
robust learning
(1)
probabilistic model
(1)
latent variable
(1)
deep neural network
(1)
entropy regularization
(1)
loss function
(1)
noisy label
(1)
ranking loss
(1)
sample mining
(1)
contrastive loss
(1)
robust training
(1)
similarity structure
(1)
triplet loss
(1)
Papers
ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks
CVPR 2021
DADA: Differentiable Automatic Data Augmentation
ECCV 2020
Reducing Distributional Uncertainty by Mutual Information Maximisation and Transferable Feature Learning
ECCV 2020
Deep Metric Learning by Online Soft Mining and Class-Aware Attention
AAAI 2019
Ranked List Loss for Deep Metric Learning
CVPR 2019
Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection
CVPR 2019
Attribute-Enhanced Face Recognition With Neural Tensor Fusion Networks
ICCV 2017