Takuya Akiba

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 33

Top Topics

Betweenness Centrality

Top Venues

Proc. VLDB Endow.

Publications

Takuya Akiba, Makoto Shing, Yujin Tang, Qi Sun, David Ha
Evolutionary Optimization of Model Merging Recipes. CoRR (2024)
Ken Namura, Johannes Maximilian Kühn, Tohru Adachi, H. Imachi, H. Kaneko, T. Kato, Go Watanabe, Naoto Tanaka, S. Kashihara, Hiroshi Miyashita, Y. Tomonaga, Ryosuke Okuta, Takuya Akiba, Brian Vogel, S. Kitajo, F. Osawa, K. Takahashi, Y. Takatsukasa, K. Mizumaru, T. Yamauchi, J. Ono, A. Takahashi, Tanvir Ahmed, Y. Doi, K. Hiraki, J. Makino
MN-Core - A Highly Efficient and Scalable Approach to Deep Learning. VLSI Circuits (2021)
Shogo Murai, Hiroaki Mikami, Masanori Koyama, Shuji Suzuki, Takuya Akiba
Online-Codistillation Meets LARS, Going beyond the Limit of Data Parallelism in Deep Learning. DLS@SC (2020)
Yoshihiro Yamada, Masakazu Iwamura, Takuya Akiba, Koichi Kise
Shakedrop Regularization for Deep Residual Learning. IEEE Access 7 (2019)
Seiya Tokui, Ryosuke Okuta, Takuya Akiba, Yusuke Niitani, Toru Ogawa, Shunta Saito, Shuji Suzuki, Kota Uenishi, Brian Vogel, Hiroyuki Yamazaki Vincent
Chainer: A Deep Learning Framework for Accelerating the Research Cycle. KDD (2019)
Mitsuru Kusumoto, Takuya Inoue, Gentaro Watanabe, Takuya Akiba, Masanori Koyama
A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation. NeurIPS (2019)
Yusuke Niitani, Toru Ogawa, Shuji Suzuki, Takuya Akiba, Tommi Kerola, Kohei Ozaki, Shotaro Sano
Team PFDet's Methods for Open Images Challenge 2019. CoRR (2019)
Mitsuru Kusumoto, Takuya Inoue, Gentaro Watanabe, Takuya Akiba, Masanori Koyama
A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation. CoRR (2019)
Takuya Akiba, Shotaro Sano, Toshihiko Yanase, Takeru Ohta, Masanori Koyama
Optuna: A Next-generation Hyperparameter Optimization Framework. KDD (2019)
Seiya Tokui, Ryosuke Okuta, Takuya Akiba, Yusuke Niitani, Toru Ogawa, Shunta Saito, Shuji Suzuki, Kota Uenishi, Brian Vogel, Hiroyuki Yamazaki Vincent
Chainer: A Deep Learning Framework for Accelerating the Research Cycle. CoRR (2019)
Yusuke Niitani, Takuya Akiba, Tommi Kerola, Toru Ogawa, Shotaro Sano, Shuji Suzuki
Sampling Techniques for Large-Scale Object Detection From Sparsely Annotated Objects. CVPR (2019)
Takuya Akiba, Shotaro Sano, Toshihiko Yanase, Takeru Ohta, Masanori Koyama
Optuna: A Next-generation Hyperparameter Optimization Framework. CoRR (2019)
Yusuke Tsuzuku, Hiroto Imachi, Takuya Akiba
Variance-based Gradient Compression for Efficient Distributed Deep Learning. CoRR (2018)
Takuya Akiba, Tommi Kerola, Yusuke Niitani, Toru Ogawa, Shotaro Sano, Shuji Suzuki
PFDet: 2nd Place Solution to Open Images Challenge 2018 Object Detection Track. CoRR (2018)
Yusuke Niitani, Takuya Akiba, Tommi Kerola, Toru Ogawa, Shotaro Sano, Shuji Suzuki
Sampling Techniques for Large-Scale Object Detection from Sparsely Annotated Objects. CoRR (2018)
Yusuke Tsuzuku, Hiroto Imachi, Takuya Akiba
Variance-based Gradient Compression for Efficient Distributed Deep Learning. ICLR (Workshop) (2018)
Alexey Kurakin, Ian J. Goodfellow, Samy Bengio, Yinpeng Dong, Fangzhou Liao, Ming Liang, Tianyu Pang, Jun Zhu, Xiaolin Hu, Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan L. Yuille, Sangxia Huang, Yao Zhao, Yuzhe Zhao, Zhonglin Han, Junjiajia Long, Yerkebulan Berdibekov, Takuya Akiba, Seiya Tokui, Motoki Abe
Adversarial Attacks and Defences Competition. CoRR (2018)
Takuya Akiba, Keisuke Fukuda, Shuji Suzuki
ChainerMN: Scalable Distributed Deep Learning Framework. CoRR (2017)
Takuya Akiba, Shuji Suzuki, Keisuke Fukuda
Extremely Large Minibatch SGD: Training ResNet-50 on ImageNet in 15 Minutes. CoRR (2017)
Wataru Inariba, Takuya Akiba, Yuichi Yoshida
Random-Radius Ball Method for Estimating Closeness Centrality. AAAI (2017)
Fumito Takeuchi, Masaaki Nishino, Norihito Yasuda, Takuya Akiba, Shin-ichi Minato, Masaaki Nagata
BDD-Constrained A* Search: A Fast Method for Solving Constrained DAG Shortest-Path Problems. AAAI Workshops (2017)
Fumito Takeuchi, Masaaki Nishino, Norihito Yasuda, Takuya Akiba, Shin-ichi Minato, Masaaki Nagata
Search: A Fast Method for Solving Constrained Shortest-Path Problems. IEICE Trans. Inf. Syst. (12) (2017)
Takuya Akiba, Yoichi Iwata
Branch-and-reduce exponential/FPT algorithms in practice: A case study of vertex cover. Theor. Comput. Sci. 609 (2016)
Takuya Akiba, Kenko Nakamura, Taro Takaguchi
Fractality of Massive Graphs: Scalable Analysis with Sketch-Based Box-Covering Algorithm. ICDM (2016)
Takanori Hayashi, Takuya Akiba, Yuichi Yoshida
Efficient Algorithms for Spanning Tree Centrality. IJCAI (2016)
Takuya Akiba, Yoichi Iwata, Yosuke Sameshima, Naoto Mizuno, Yosuke Yano
Cut Tree Construction from Massive Graphs. CoRR (2016)
Takuya Akiba, Yosuke Yano
Compact and Scalable Graph Neighborhood Sketching. KDD (2016)
Takanori Hayashi, Takuya Akiba, Ken-ichi Kawarabayashi
Fully Dynamic Shortest-Path Distance Query Acceleration on Massive Networks. CIKM (2016)
Takuya Akiba, Kenko Nakamura, Taro Takaguchi
Fractality of Massive Graphs: Scalable Analysis with Sketch-Based Box-Covering Algorithm. CoRR (2016)
Takuya Akiba, Yoichi Iwata, Yosuke Sameshima, Naoto Mizuno, Yosuke Yano
Cut Tree Construction from Massive Graphs. ICDM (2016)
Takuya Akiba, Yosuke Yano, Naoto Mizuno
-Path Covers. CIKM (2016)
Takuto Ikuta, Takuya Akiba
Integer programming approach for directed minimum spanning tree problem on temporal graphs. NDA@SIGMOD (2016)
Naoto Ohsaka, Takuya Akiba, Yuichi Yoshida, Ken-ichi Kawarabayashi
Dynamic Influence Analysis in Evolving Networks. Proc. VLDB Endow. 9 (12) (2016)
Takanori Hayashi, Takuya Akiba, Yuichi Yoshida
Fully Dynamic Betweenness Centrality Maintenance on Massive Networks. Proc. VLDB Endow. 9 (2) (2015)
Takuya Akiba, Yoichi Iwata
Branch-and-Reduce Exponential/FPT Algorithms in Practice: A Case Study of Vertex Cover. ALENEX (2015)
Takuya Akiba, Takanori Hayashi, Nozomi Nori, Yoichi Iwata, Yuichi Yoshida
Efficient Top-k Shortest-Path Distance Queries on Large Networks by Pruned Landmark Labeling. AAAI (2015)
Takuya Akiba, Yoichi Iwata, Yuki Kawata
An Exact Algorithm for Diameters of Large Real Directed Graphs. SEA (2015)
Takuya Akiba, Yoichi Iwata
Branch-and-Reduce Exponential/FPT Algorithms in Practice: A Case Study of Vertex Cover. CoRR (2014)
Takuya Akiba, Yoichi Iwata, Yuichi Yoshida
Dynamic and historical shortest-path distance queries on large evolving networks by pruned landmark labeling. WWW (2014)
Naoto Ohsaka, Takuya Akiba, Yuichi Yoshida, Ken-ichi Kawarabayashi
Fast and Accurate Influence Maximization on Large Networks with Pruned Monte-Carlo Simulations. AAAI (2014)
Takuya Akiba, Takanori Maehara, Ken-ichi Kawarabayashi
Network structural analysis via core-tree-decomposition Publication of this article pending inquiry. KDD (2014)
Takuya Akiba, Yoichi Iwata, Ken-ichi Kawarabayashi, Yuki Kawata
Fast Shortest-path Distance Queries on Road Networks by Pruned Highway Labeling. ALENEX (2014)
Takanori Maehara, Takuya Akiba, Yoichi Iwata, Ken-ichi Kawarabayashi
Computing Personalized PageRank Quickly by Exploiting Graph Structures. Proc. VLDB Endow. 7 (12) (2014)
Takuya Akiba
Pruned labeling algorithms: fast, exact, dynamic, simple and general indexing scheme for shortest-path queries. WWW (Companion Volume) (2014)
Takuya Akiba, Yoichi Iwata, Yuichi Yoshida
Linear-time enumeration of maximal K-edge-connected subgraphs in large networks by random contraction. CIKM (2013)
Takuya Akiba, Yoichi Iwata, Yuichi Yoshida
Fast exact shortest-path distance queries on large networks by pruned landmark labeling. SIGMOD Conference (2013)
Takuya Akiba, Yoichi Iwata, Yuichi Yoshida
Fast Exact Shortest-Path Distance Queries on Large Networks by Pruned Landmark Labeling CoRR (2013)
Yosuke Yano, Takuya Akiba, Yoichi Iwata, Yuichi Yoshida
Fast and scalable reachability queries on graphs by pruned labeling with landmarks and paths. CIKM (2013)
Takuya Akiba, Christian Sommer, Ken-ichi Kawarabayashi
Shortest-path queries for complex networks: exploiting low tree-width outside the core. EDBT (2012)