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Ikki Kishida

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Journal Articles

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2024
[j1]
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  - journals/access/KashimaKAN24
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Taiga Kashima, Ikki Kishida, Ayako Amma, Hideki Nakayama:
FedFit: Server Aggregation Through Linear Regression in Federated Learning. IEEE Access 12: 22803-22812 (2024)

Conference and Workshop Papers

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2022
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Ikki Kishida, Hideki Nakayama:
Pixel to Binary Embedding Towards Robustness for CNNs. ICPR 2022: 2279-2285
2021
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  - conf/icip/KatsumataKAN21
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Kai Katsumata, Ikki Kishida, Ayako Amma, Hideki Nakayama:
Open-Set Domain Generalization VIA Metric Learning. ICIP 2021: 459-463
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Ikki Kishida, Hong Chen, Masaki Baba, Jiren Jin, Ayako Amma, Hideki Nakayama:
Object Recognition with Continual Open Set Domain Adaptation for Home Robot. WACV 2021: 1516-1525
2019
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Ikki Kishida, Hideki Nakayama:
Empirical Study of Easy and Hard Examples in CNN Training. ICONIP (4) 2019: 179-188

Informal and Other Publications

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2022
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  - journals/corr/abs-2206-05898
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Ikki Kishida, Hideki Nakayama:
Pixel to Binary Embedding Towards Robustness for CNNs. CoRR abs/2206.05898 (2022)
2019
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  - journals/corr/abs-1911-10739
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Ikki Kishida, Hideki Nakayama:
Empirical Study of Easy and Hard Examples in CNN Training. CoRR abs/1911.10739 (2019)

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