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2020 – today
- 2024
[j2]Takumi Nakagawa, Yutaro Sanada, Hiroki Waida, Yuhui Zhang, Yuichiro Wada, Kosaku Takanashi, Tomonori Yamada
, Takafumi Kanamori:
Denoising cosine similarity: A theory-driven approach for efficient representation learning. Neural Networks 169: 226-241 (2024)- [c2]Hiroo Irobe, Wataru Aoki, Kimihiro Yamazaki, Yuhui Zhang, Takumi Nakagawa, Hiroki Waida, Yuichiro Wada, Takafumi Kanamori:
Robust VAEs via Generating Process of Noise Augmented Data. ISIT 2024: 587-592 - [i5]Hiroki Waida, Kimihiro Yamazaki, Atsushi Tokuhisa, Mutsuyo Wada, Yuichiro Wada:
Investigating Self-Supervised Image Denoising with Denaturation. CoRR abs/2405.01124 (2024) - [i4]Hiroo Irobe, Wataru Aoki, Kimihiro Yamazaki, Yuhui Zhang, Takumi Nakagawa, Hiroki Waida, Yuichiro Wada, Takafumi Kanamori:
Robust VAEs via Generating Process of Noise Augmented Data. CoRR abs/2407.18632 (2024) - 2023
- [j1]Yuhui Zhang, Yuichiro Wada, Hiroki Waida, Kaito Goto, Yusaku Hino, Takafumi Kanamori:
Deep Clustering With a Constraint for Topological Invariance Based on Symmetric InfoNCE. Neural Comput. 35(7): 1288-1339 (2023) - [c1]Hiroki Waida, Yuichiro Wada, Léo Andéol, Takumi Nakagawa, Yuhui Zhang, Takafumi Kanamori:
Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical Analysis. ECML/PKDD (4) 2023: 709-727 - [i3]Yuhui Zhang, Yuichiro Wada, Hiroki Waida, Kaito Goto, Yusaku Hino, Takafumi Kanamori:
Deep Clustering with a Constraint for Topological Invariance based on Symmetric InfoNCE. CoRR abs/2303.03036 (2023) - [i2]Hiroki Waida, Yuichiro Wada, Léo Andéol, Takumi Nakagawa, Yuhui Zhang, Takafumi Kanamori:
Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical Analysis. CoRR abs/2304.00395 (2023) - [i1]Takumi Nakagawa, Yutaro Sanada, Hiroki Waida, Yuhui Zhang, Yuichiro Wada, Kosaku Takanashi, Tomonori Yamada, Takafumi Kanamori:
Denoising Cosine Similarity: A Theory-Driven Approach for Efficient Representation Learning. CoRR abs/2304.09552 (2023)
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