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The University of Tokyo
- Tokyo, Japan
- https://s-kumano.github.io/
- https://orcid.org/0000-0002-3461-3943
Popular repositories Loading
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imagenet-superclass
imagenet-superclass PublicThe example of correspondence between fine classes and superclasses (coarse classes) in ImageNet.
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learning-from-adversarial-perturbations
learning-from-adversarial-perturbations PublicThe official code for "Theoretical Understanding of Learning from Adversarial Perturbations" [S. Kumano et al., ICLR24].
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universally-robust-in-context-learner
universally-robust-in-context-learner PublicThe official code for "Adversarially Pretrained Transformers May Be Universally Robust In-Context Learners" [S. Kumano et al., preprint].
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perturbation-learning
perturbation-learning PublicThe official code for "Wide Two-Layer Networks can Learn from Adversarial Perturbations" [S. Kumano et al., NeurIPS24].
Jupyter Notebook 1
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japanese-phd-thesis-template
japanese-phd-thesis-template Public主に英語,たまに日本語を使うような博士論文のLaTeXテンプレート.
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