Researcher profile
Brian McWilliams
2 papers in the PaperMetrix corpus
Publications
Papers by this author
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Learning Representations for Outlier Detection on a Budget
2015 · arXiv (Cornell University)
The problem of detecting a small number of outliers in a large dataset is an important task in many fields from fraud detection to high-energy physics. Two approaches have emerged to tackle this problem: unsupervised …
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Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?
2022 · arXiv (Cornell University)
Despite recent progress made by self-supervised methods in representation learning with residual networks, they still underperform supervised learning on the ImageNet classification benchmark, limiting their applicability in performance-critical settings. Building on prior theoretical insights from …