Shinichi Shirakawa
Orcid: 0000-0002-4659-6108Affiliations:
- Yokohama National University, Kanagawa, Japan
According to our database1,
Shinichi Shirakawa
authored at least 56 papers
between 2007 and 2023.
Collaborative distances:
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Bibliography
2023
Neural Networks, September, 2023
Simple Domain Generalization Methods are Strong Baselines for Open Domain Generalization.
CoRR, 2023
Language Agnostic Gesture Generation Model: A Case Study of Japanese Speakers' Gesture Generation Using English Text-to-Gesture Model.
Proceedings of the 18th International Joint Conference on Computer Vision, 2023
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023
2022
Neural Networks, 2022
Generation of microscopic structure of solder material with desirable characteristics based on deep learning.
Knowl. Based Syst., 2022
CMA-ES with Margin for Single-and Multi-Objective Mixed-Integer Black-Box Optimization.
CoRR, 2022
Improvement of sep-CMA-ES for Optimization of High-Dimensional Functions with Low Effective Dimensionality.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Efficient Search of Multiple Neural Architectures with Different Complexities via Importance Sampling.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Auxiliary Data Selection in Percolative Learning Method for Improving Neural Network Performance.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022
Neural Architecture Search for Improving Latency-Accuracy Trade-off in Split Computing.
Proceedings of the IEEE Globecom 2022 Workshops, 2022
A two-phase framework with a bézier simplex-based interpolation method for computationally expensive multi-objective optimization.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
CMA-ES with margin: lower-bounding marginal probability for mixed-integer black-box optimization.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Reduction of genetic drift in population-based incremental learning via entropy regularization.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
2021
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters.
Proceedings of the Asian Conference on Machine Learning, 2021
2020
Designing Convolutional Neural Network Architectures Using Cartesian Genetic Programming.
Proceedings of the Deep Neural Evolution - Deep Learning with Evolutionary Computation, 2020
Finite-Sample Analysis of Information Geometric Optimization With Isotropic Gaussian Distribution on Convex Quadratic Functions.
IEEE Trans. Evol. Comput., 2020
Evol. Comput., 2020
Adaptive Stochastic Natural Gradient Method for Optimizing Functions with Low Effective Dimensionality.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
Reinforcement Learning-Based Redirection Controller for Efficient Redirected Walking in Virtual Maze Environment.
Proceedings of the Advances in Computer Graphics, 2020
2019
Proceedings of the 2019 24th OptoElectronics and Communications Conference (OECC) and 2019 International Conference on Photonics in Switching and Computing (PSC), 2019
Joint Optimization of Convolutional Neural Network and Image Preprocessing Selection for Embryo Grade Prediction in In Vitro Fertilization.
Proceedings of the Advances in Visual Computing, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019
2018
Parameterless Stochastic Natural Gradient Method for Discrete Optimization and its Application to Hyper-Parameter Optimization for Neural Network.
CoRR, 2018
CoRR, 2018
Proceedings of the 18th International Conference on Intelligent Virtual Agents, 2018
Analysis of information geometric optimization with isotropic gaussian distribution under finite samples.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Speech-to-Gesture Generation: A Challenge in Deep Learning Approach with Bi-Directional LSTM.
Proceedings of the 5th International Conference on Human Agent Interaction, 2017
A genetic programming approach to designing convolutional neural network architectures.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
2016
Hierarchical feature construction for image classification using Genetic Programming.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
Impact of invariant objective for order preserving transformation in Bayesian optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
IEICE Trans. Inf. Syst., 2015
Development of Web-Based Platform for Privacy Protective Avatar Mediated Distance-Care.
Proceedings of the Pervasive Computing Paradigms for Mental Health, 2015
The Effect of Metaphoric Gestures on Schematic Understanding of Instruction Performed by a Pedagogical Conversational Agent.
Proceedings of the Learning and Collaboration Technologies, 2015
Sample Reuse in the Covariance Matrix Adaptation Evolution Strategy Based on Importance Sampling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
2010
Proceedings of the Genetic Programming, 13th European Conference, 2010
Evolving search spaces to emphasize the performance difference of real-coded crossovers using genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Automatic construction of image transformation algorithms using feature based genetic image network.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Proceedings of the Applications of Evolutionary Computing, 2009
Proceedings of the Genetic Programming, 12th European Conference, 2009
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
2008
Evolutionary algorithm considering program size: efficient program evolution using grape.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
2007
Proceedings of the IEEE International Conference on Systems, 2007
Feed Forward Genetic Image Network: Toward Efficient Automatic Construction of Image Processing Algorithm.
Proceedings of the Advances in Visual Computing, Third International Symposium, 2007
Proceedings of the Genetic and Evolutionary Computation Conference, 2007