Search Results for author: Hiroaki Ito

Found 2 papers, 1 papers with code

Multicoated and Folded Graph Neural Networks with Strong Lottery Tickets

1 code implementation6 Dec 2023 Jiale Yan, Hiroaki Ito, Ángel López García-Arias, Yasuyuki Okoshi, Hikari Otsuka, Kazushi Kawamura, Thiem Van Chu, Masato Motomura

The Strong Lottery Ticket Hypothesis (SLTH) demonstrates the existence of high-performing subnetworks within a randomly initialized model, discoverable through pruning a convolutional neural network (CNN) without any weight training.

Listen to What You Want: Neural Network-based Universal Sound Selector

no code implementations10 Jun 2020 Tsubasa Ochiai, Marc Delcroix, Yuma Koizumi, Hiroaki Ito, Keisuke Kinoshita, Shoko Araki

In this paper, we propose instead a universal sound selection neural network that enables to directly select AE sounds from a mixture given user-specified target AE classes.

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