Hisashi Kashima
- Random Features Strengthen Graph Neural Networks
2020/02/08 by Ryoma Sato, Sato, Ryoma, Makoto Yamada +3 · 11 citations
Computer Science · Engineering · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem
2015/06/08 by Junpei Komiyama, Komiyama, Junpei, Junya Honda +5 · 4 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Auction Theory and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Search Problems
- Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario
2017/09/03 by Jill-Jênn Vie, Florian Yger, Vie, Jill-Jênn +11 · 1 voice
#cs.IR #cs.LG #stat.ML
- Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing
2018/11/08 by Jill-Jênn Vie, Vie, Jill-Jênn, Hisashi Kashima +1 · 3 citations
Computer Science · #Intelligent Tutoring Systems and Adaptive Learning #Online Learning and Analytics #Topic Modeling
- Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces
2020/02/05 by Ryoma Sato, Marco Cuturi, Sato, Ryoma +5 · 3 citations
Computer Science · #Advanced Clustering Algorithms Research #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Cognitive Biases in Large Language Models: A Survey and Mitigation Experiments
2024/11/30 by Yasuaki Sumita, Koh Takeuchi, Sumita, Yasuaki +3 · 7 citations
Computer Science · #Topic Modeling
- Theoretical evidence for adversarial robustness through randomization
2019/02/04 by Rafaël Pinot, Pinot, Rafael, Laurent Meunier +11 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
- Parametric Return Density Estimation for Reinforcement Learning
2012/03/15 by Tetsuro Morimura, Morimura, Tetsuro, Masashi Sugiyama +7 · 1 citation
Computer Science · #Advanced Multi-Objective Optimization Algorithms #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- CrowDEA: Multi-view Idea Prioritization with Crowds
2020/08/01 by Yukino Baba, Jiyi Li, Baba, Yukino +3 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing
- Emulating Retrieval Augmented Generation via Prompt Engineering for Enhanced Long Context Comprehension in LLMs
2025/02/18 by Joon Sik Park, Park, Joon, Kyohei Atarashi +5 · 3 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning and Algorithms #Recommender Systems and Techniques #Topic Modeling
- Federated Source-free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data
2024/12/18 by Junki Mori, Mori, Junki, K. Kihara +9 · 2 citations
Computer Science · Medicine · #COVID-19 diagnosis using AI #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Neural Double Auction Mechanism
2024/12/16 by Tsuyoshi Suehara, Koh Takeuchi, Suehara, Tsuyoshi +9 · 1 citation
Business, Management and Accounting · Decision Sciences · #Auction Theory and Applications #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Supply Chain and Inventory Management