Boris N. Oreshkin
3 papers in the PaperMetrix corpus
Papers by this author
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Uncertainty in Multitask Transfer Learning
2018 · arXiv (Cornell University)
Using variational Bayes neural networks, we develop an algorithm capable of accumulating knowledge into a prior from multiple different tasks. The result is a rich and meaningful prior capable of few-shot learning on new tasks. …
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Fine-grained zero-shot recognition with metric rescaling.
2019 · arXiv (Cornell University)
We address the problem of learning fine-grained cross-modal representations. We propose an instance-based deep metric learning approach in joint visual and textual space. On top of that, we derive a metric rescaling approach that solves …
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Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings
2020
Significant progress has been made recently in developing few-shot object segmentation methods. Learning is shown to be successful in few-shot segmentation settings, using pixel-level, scribbles and bounding box supervision. This paper takes another approach, i.e., …