Shinichi Shirakawa
4 papers · 2018–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(13)
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Hot Topic Early Bird
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Research topics
Machine Learning
(4)
Optimization & Theory · Machine Learning
(4)
Deep Learning
(3)
Artificial Intelligence
(2)
Architectures
(2)
Core AI
(2)
Natural Language Processing
(1)
Application Areas
(1)
Learning Paradigms
(1)
Learning Types
(1)
Optimization & Theory · Deep Learning
(1)
Resources & Methods
(1)
Techniques
(1)
Keywords
neural architecture search
(3)
convolutional neural network
(2)
hyperparameter optimization
(1)
prompt engineering
(1)
natural gradient
(1)
gradient descent
(1)
thompson sampling
(1)
benchmark dataset
(1)
surrogate model
(1)
adaptive step size
(1)
evolutionary algorithm
(1)
prompt optimization
(1)
directed acyclic graph
(1)
search space
(1)
genetic programming
(1)
architecture optimization
(1)
one-shot learning
(1)
large language model
(1)
stochastic optimization
(1)
Papers
Bandit-Based Prompt Design Strategy Selection Improves Prompt Optimizers
ACL 2025
NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters
ACML 2021
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
ICML 2019
A Genetic Programming Approach to Designing Convolutional Neural Network Architectures
IJCAI 2018