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Yuki Takezawa
Yuki Takezawa
Verified email at ml.ist.i.kyoto-u.ac.jp - Homepage
Title
Cited by
Cited by
Year
Fixed Support Tree-Sliced Wasserstein Barycenter
Y Takezawa, R Sato, Z Kozareva, S Ravi, M Yamada
AISTATS 2022 - International Conference on Artificial Intelligence and …, 2021
152021
Supervised Tree-Wasserstein Distance
Y Takezawa, R Sato, M Yamada
ICML 2021 - International Conference on Machine Learning 139, 10086-10095, 2021
112021
Momentum tracking: Momentum acceleration for decentralized deep learning on heterogeneous data
Y Takezawa, H Bao, K Niwa, R Sato, M Yamada
TMLR 2023 - Transaction of Machine Learning Research, 2022
102022
Embarrassingly simple text watermarks
R Sato, Y Takezawa, H Bao, K Niwa, M Yamada
arXiv preprint arXiv:2310.08920, 2023
82023
Necessary and Sufficient Watermark for Large Language Models
Y Takezawa, R Sato, H Bao, K Niwa, M Yamada
arXiv preprint arXiv:2310.00833, 2023
82023
Approximating 1-Wasserstein Distance with Trees
M Yamada, Y Takezawa, R Sato, H Bao, Z Kozareva, S Ravi
TMLR 2023 - Transaction of Machine Learning Research, 2022
72022
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence
Y Takezawa, R Sato, H Bao, K Niwa, M Yamada
NeurIPS 2023 - Advances in Neural Information Processing Systems, 2023
42023
Theoretical analysis of primal-dual algorithm for non-convex stochastic decentralized optimization
Y Takezawa, K Niwa, M Yamada
arXiv preprint arXiv:2205.11979, 2022
42022
Communication compression for decentralized learning with operator splitting methods
Y Takezawa, K Niwa, M Yamada
IEEE Transactions on Signal and Information Processing over Networks, 2023
32023
An empirical study of simplicial representation learning with wasserstein distance
M Yamada, Y Takezawa, G Houry, KM Dusterwald, D Sulem, H Zhao, ...
arXiv preprint arXiv:2310.10143, 2023
12023
Polyak Meets Parameter-free Clipped Gradient Descent
Y Takezawa, H Bao, R Sato, K Niwa, M Yamada
arXiv preprint arXiv:2405.15010, 2024
2024
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis
S Ishikawa, M Yamada, H Bao, Y Takezawa
arXiv preprint arXiv:2405.14650, 2024
2024
A Localized Primal-Dual Method for Centralized/Decentralized Federated Learning Robust to Data Heterogeneity
I Tyou, T Murata, T Fukami, Y Takezawa, K Niwa
IEEE Transactions on Signal and Information Processing over Networks, 2023
2023
Large-scale similarity search with Optimal Transport
C Laouar, Y Takezawa, M Yamada
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023
2023
Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following
K Shinoda, Y Takezawa, M Suzuki, Y Iwasawa, Y Matsuo
MMM 2023 - International Conference on Multimedia Modeling, 2023
2023
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