Anton van den Hengel
3 papers in the PaperMetrix corpus
Papers by this author
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An Embarrassingly Simple Approach to Visual Domain Adaptation
2018 · IEEE Transactions on Image Processing
We show that it is possible to achieve high-quality domain adaptation without explicit adaptation. The nature of the classification problem means that when samples from the same class in different domains are sufficiently close, and …
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Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning
2022 · arXiv (Cornell University)
Continual Learning (CL) methods aim to enable machine learning models to learn new tasks without catastrophic forgetting of those that have been previously mastered. Existing CL approaches often keep a buffer of previously-seen samples, perform …
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Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale
2024 · arXiv (Cornell University)
Source-Free Unsupervised Domain Adaptation (SFUDA) is a challenging task where a model needs to be adapted to a new domain without access to target domain labels or source domain data. The primary difficulty in this …