Yuki Takezawa

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 22

Top Topics

Heterogeneous Data

Tree Edit Distance

Top Venues

IEEE Trans. Signal Inf. Process. over Networks

Trans. Mach. Learn. Res.

Publications

Satoki Ishikawa, Makoto Yamada, Han Bao, Yuki Takezawa
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis. CoRR (2024)
Iifan Tyou, Tomoya Murata, Takumi Fukami, Yuki Takezawa, Kenta Niwa
A Localized Primal-Dual Method for Centralized/Decentralized Federated Learning Robust to Data Heterogeneity. IEEE Trans. Signal Inf. Process. over Networks 10 (2024)
Yuki Takezawa, Han Bao, Ryoma Sato, Kenta Niwa, Makoto Yamada
Polyak Meets Parameter-free Clipped Gradient Descent. CoRR (2024)
Makoto Yamada, Yuki Takezawa, Guillaume Houry, Kira Michaela Dusterwald, Déborah Sulem, Han Zhao, Yao-Hung Hubert Tsai
An Empirical Study of Simplicial Representation Learning with Wasserstein Distance. CoRR (2023)
Kazutoshi Shinoda, Yuki Takezawa, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo
Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following. MMM (2) (2023)
Ryoma Sato, Yuki Takezawa, Han Bao, Kenta Niwa, Makoto Yamada
Embarrassingly Simple Text Watermarks. CoRR (2023)
Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada
Necessary and Sufficient Watermark for Large Language Models. CoRR (2023)
Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence. NeurIPS (2023)
Yuki Takezawa, Han Bao, Kenta Niwa, Ryoma Sato, Makoto Yamada
Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data. Trans. Mach. Learn. Res. 2023 (2023)
Yuki Takezawa, Kenta Niwa, Makoto Yamada
Communication Compression for Decentralized Learning With Operator Splitting Methods. IEEE Trans. Signal Inf. Process. over Networks 9 (2023)
Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence. CoRR (2023)
Cléa Laouar, Yuki Takezawa, Makoto Yamada
Large-scale similarity search with Optimal Transport. EMNLP (2023)
Yuki Takezawa, Kenta Niwa, Makoto Yamada
Theoretical Analysis of Primal-Dual Algorithm for Non-Convex Stochastic Decentralized Optimization. CoRR (2022)
Makoto Yamada, Yuki Takezawa, Ryoma Sato, Han Bao, Zornitsa Kozareva, Sujith Ravi
Approximating 1-Wasserstein Distance with Trees. CoRR (2022)
Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva, Sujith Ravi, Makoto Yamada
Fixed Support Tree-Sliced Wasserstein Barycenter. AISTATS (2022)
Yuki Takezawa, Han Bao, Kenta Niwa, Ryoma Sato, Makoto Yamada
Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data. CoRR (2022)
Yuki Takezawa, Kenta Niwa, Makoto Yamada
Communication Compression for Decentralized Learning with Operator Splitting Methods. CoRR (2022)
Makoto Yamada, Yuki Takezawa, Ryoma Sato, Han Bao, Zornitsa Kozareva, Sujith Ravi
Approximating 1-Wasserstein Distance with Trees. Trans. Mach. Learn. Res. 2022 (2022)
Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva, Sujith Ravi, Makoto Yamada
Fixed Support Tree-Sliced Wasserstein Barycenter. CoRR (2021)
Kazutoshi Shinoda, Yuki Takezawa, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo
Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following. CoRR (2021)
Yuki Takezawa, Ryoma Sato, Makoto Yamada
Supervised Tree-Wasserstein Distance. CoRR (2021)
Yuki Takezawa, Ryoma Sato, Makoto Yamada
Supervised Tree-Wasserstein Distance. ICML (2021)