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2020 – today
- 2024
[j1]Hikari Otsuka, Yasuyuki Okoshi, Ángel López García-Arias, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Masato Motomura:
Restricted Random Pruning at Initialization for High Compression Range. Trans. Mach. Learn. Res. 2024 (2024)- [c2]Akihiro Shioda, Ángel López García-Arias, Hikari Otsuka, Yuki Ichikawa, Yasuyuki Okoshi, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Masato Motomura:
Exploiting N:M Sparsity in Quantized-Folded ResNets: Signed Multicoat Supermasks and Iterative Pruning-Quantization. CANDAR 2024: 224-230 - [i2]Hikari Otsuka
, Daiki Chijiwa, Ángel López García-Arias, Yasuyuki Okoshi, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Susumu Takeuchi, Masato Motomura:
Partial Search in a Frozen Network is Enough to Find a Strong Lottery Ticket. CoRR abs/2402.14029 (2024) - 2023
- [c1]Jiale Yan, Hiroaki Ito, Ángel López García-Arias, Yasuyuki Okoshi, Hikari Otsuka, Kazushi Kawamura, Thiem Van Chu, Masato Motomura:
Multicoated and Folded Graph Neural Networks With Strong Lottery Tickets. LoG 2023: 11 - [i1]Jiale Yan, Hiroaki Ito, Ángel López García-Arias, Yasuyuki Okoshi, Hikari Otsuka, Kazushi Kawamura, Thiem Van Chu, Masato Motomura:
Multicoated and Folded Graph Neural Networks with Strong Lottery Tickets. CoRR abs/2312.03236 (2023)
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