6 citations · 30 across the 37 of their papers we have counts for
6 papers · 1 filter
Reinforcement Learning with Adaptive Curriculum Dynamics Randomization for Fault-Tolerant Robot Control
Wataru Okamoto, Hiroshi Kera, Kazuhiko Kawamoto
This study is aimed at addressing the problem of fault tolerance of quadruped robots to actuator failure, which is critical for robots operating in remote or extreme environments.…
Evolving Architectures with Gradient Misalignment toward Low Adversarial Transferability
Kevin Richard G. Operiano, Wanchalerm Pora, Hitoshi Iba +1
Deep neural network image classifiers are known to be susceptible not only to adversarial examples created for them but even those created for others. This phenomenon poses a poten…
Adversarial Bone Length Attack on Action Recognition
Nariki Tanaka, Hiroshi Kera, Kazuhiko Kawamoto
Skeleton-based action recognition models have recently been shown to be vulnerable to adversarial attacks. Compared to adversarial attacks on images, perturbations to skeletons are…
Adversarially Trained Object Detector for Unsupervised Domain Adaptation
Kazuma Fujii, Hiroshi Kera, Kazuhiko Kawamoto
Unsupervised domain adaptation, which involves transferring knowledge from a label-rich source domain to an unlabeled target domain, can be used to substantially reduce annotation…
Border basis computation with gradient-weighted normalization
Hiroshi Kera
Normalization of polynomials plays a vital role in the approximate basis computation of vanishing ideals. Coefficient normalization, which normalizes a polynomial with its coeffici…
Monomial-agnostic computation of vanishing ideals
Hiroshi Kera, Yoshihiko Hasegawa
In the last decade, the approximate basis computation of vanishing ideals has been studied extensively in computational algebra and data-driven applications such as machine learnin…