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Yuki Takezawa
Yuki Takezawa
Other names竹澤 祐貴
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
182021
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
172022
Embarrassingly Simple Text Watermarks
R Sato, Y Takezawa, H Bao, K Niwa, M Yamada
arXiv preprint arXiv:2310.08920, 2023
162023
Necessary and Sufficient Watermark for Large Language Models
Y Takezawa, R Sato, H Bao, K Niwa, M Yamada
arXiv preprint arXiv:2310.00833, 2023
142023
Supervised Tree-Wasserstein Distance
Y Takezawa, R Sato, M Yamada
ICML 2021 - International Conference on Machine Learning 139, 10086-10095, 2021
142021
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
112022
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
72023
Parameter-free Clipped Gradient Descent Meets Polyak
Y Takezawa, H Bao, R Sato, K Niwa, M Yamada
NeurIPS 2024 - Advances in Neural Information Processing Systems, 2024
6*2024
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
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
An Empirical Study of Self-Supervised Learning with Wasserstein Distance
M Yamada, Y Takezawa, G Houry, KM Düsterwald, D Sulem, H Zhao, ...
Entropy 2024, 2024
2*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
22023
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis
S Ishikawa, M Yamada, H Bao, Y Takezawa
ICLR 2025 - International Conference on Learning Representations, 2025
12025
Large-scale Similarity Search with Optimal Transport
C Laouar, Y Takezawa, M Yamada
EMNLP 2023 - Empirical Methods in Natural Language Processing, 2023
12023
Scalable Decentralized Learning with Teleportation
Y Takezawa, SU Stich
ICLR 2025 - International Conference on Learning Representations, 2025
2025
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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