Tatsuya Konishi

According to our database, Tatsuya Konishi authored at least 20 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Open-World Continual Learning: Unifying Novelty Detection and Continual Learning.

Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu

CoRR, 2023

Continual Learning of Language Models.

Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu

CoRR, 2023

Parameter-Level Soft-Masking for Continual Learning.

Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu

Proceedings of the International Conference on Machine Learning, 2023

Learnability and Algorithm for Continual Learning.

Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu

Proceedings of the International Conference on Machine Learning, 2023

Continual Pre-training of Language Models.

Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CG-GNN: A Novel Compiled Graphs-based Feature Extraction Method for Enterprise Social Networks.

Tatsuya Konishi, Shuichiro Haruta, Mori Kurokawa, Kenta Tsukatsune, Yuto Mizutani, Tomoaki Saito, Hideki Asoh, Chihiro Ono

Proceedings of the 4th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval, 2023

2022

Multidimensional Analysis of Sense of Agency During Goal Pursuit.

Roberto Legaspi, Wenzhen Xu, Tatsuya Konishi, Shinya Wada, Yuichi Ishikawa

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

Partially Relaxed Masks for Knowledge Transfer Without Forgetting in Continual Learning.

Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

A Theoretical Study on Solving Continual Learning.

Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-view Contrastive Multiple Knowledge Graph Embedding for Knowledge Completion.

Mori Kurokawa, Kei Yonekawa, Shuichiro Haruta, Tatsuya Konishi, Hideki Asoh, Chihiro Ono, Masafumi Hagiwara

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

A Novel Graph Aggregation Method Based on Feature Distribution Around Each Ego-node for Heterophily.

Shuichiro Haruta, Tatsuya Konishi, Mori Kurokawa

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Does Activeness Originate in Individuals or Groups? Analysis of the Interrelationships between Network Indices and Posts Using Multilevel Cross-Lagged Model.

Kenta Tsukatsune, Tatsuya Konishi, Yuto Mizutani, Mori Kurokawa, Shuichiro Haruta, Tomoaki Saito

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021

Positing a Sense of Agency-Aware Persuasive AI: Its Theoretical and Computational Frameworks.

Roberto Legaspi, Wenzhen Xu, Tatsuya Konishi, Shinya Wada

Proceedings of the Persuasive Technology - 16th International Conference, 2021

A Study on Metrics for Concept Drift Detection Based on Predictions and Parameters of Ensemble Model.

Kei Yonekawa, Shuichiro Haruta, Tatsuya Konishi, Kazuhiro Saito, Hideki Asoh, Mori Kurokawa

Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking and Services, 2021

2020

Using simulated annealing for locating array construction.

Tatsuya Konishi, Hideharu Kojima, Hiroyuki Nakagawa, Tatsuhiro Tsuchiya

Inf. Softw. Technol., 2020

Finding Minimum Locating Arrays Using a CSP Solver.

Tatsuya Konishi, Hideharu Kojima, Hiroyuki Nakagawa, Tatsuhiro Tsuchiya

Fundam. Informaticae, 2020

2019

Social Behaviors: A Social Topology and Interaction Pattern Affect the Properties of a Changed Behavior.

Tatsuya Konishi, Masatoshi Nagata, Masaru Honjo, Akio Yoneyama, Masayuki Kurokawa, Koji Mishima

Proceedings of the Persuasive Technology: Development of Persuasive and Behavior Change Support Systems, 2019

2017

Early Destination Prediction with Spatio-temporal User Behavior Patterns.

Ryo Imai, Kota Tsubouchi, Tatsuya Konishi, Masamichi Shimosaka

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Finding Minimum Locating Arrays Using a SAT Solver.

Tatsuya Konishi, Hideharu Kojima, Hiroyuki Nakagawa, Tatsuhiro Tsuchiya

Proceedings of the 2017 IEEE International Conference on Software Testing, 2017

2016

CityProphet: city-scale irregularity prediction using transit app logs.

Tatsuya Konishi, Mikiya Maruyama, Kota Tsubouchi, Masamichi Shimosaka

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016