Daiki Ikami is an author at The University of Tokyo specializing in engineering, data science, and computer science.
Top concepts
EngineeringData ScienceComputer ScienceMachine LearningPattern RecognitionDeep LearningSupervised LearningSemi-supervised LearningData MiningMachine Vision
Publications per year
2018–2022
8
8
Joint Optimization Framework for Learning with Noisy Labels
Daiki Tanaka, Daiki Ikami, Toshihiko Yamasaki et al. · 2018 · 699 citations
Few-shot Learning, Image Classification, Deep Neural Networks +15
Joint Optimization Framework for Learning with Noisy Labels
Daiki Tanaka, Daiki Ikami, Toshihiko Yamasaki et al. · arXiv (Cornell University) · 2018 · 105 citations · Full text
Few-shot Learning, Image Classification, Deep Neural Networks +15
Significance of Softmax-based Features in Comparison to Distance Metric Learning-based Features
Shota Horiguchi, Daiki Ikami, Kiyoharu Aizawa · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2019 · 69 citations · Full text
Geometric Learning, Convolutional Neural Network, Objective Comparisons +23
Learning with Selective Forgetting
Takashi Shibata, Go Irie, Daiki Ikami et al. · 2021 · 34 citations · Full text
Artificial Intelligence, Incremental Learning, Llm Fine-tuning +16
Rows per page
1–5 of 8