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Joaquin Vanschoren

  1. TrustLLM: Trustworthiness in Large Language Models
    2024/01/01 by Yue Huang, Huang, Yue, Lichao Sun +136 · 30 citations
    Medicine · Computer Science · #Artificial Intelligence in Healthcare and Education #Privacy-Preserving Technologies in Data #Explainable Artificial Intelligence (XAI)
  2. Advances and Challenges in Meta-Learning: A Technical Review
    2023/07/10 by Anna Vettoruzzo, Vettoruzzo, Anna, Mohamed-Rafik Bouguelia +7 · 20 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning
  3. Introducing v0.5 of the AI Safety Benchmark from MLCommons
    2024/04/18 by Bertie Vidgen, Vidgen, Bertie, Adarsh Agrawal +202 · 2 voices · 10 citations
    Computer Science · #Adversarial Robustness in Machine Learning
  4. DataPerf: Benchmarks for Data-Centric AI Development
    2022/07/20 by Mark Mazumder, Mazumder, Mark, Colby Banbury +78 · 6 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  5. Importance of Tuning Hyperparameters of Machine Learning Algorithms
    2020/07/15 by Hilde Weerts, Weerts, Hilde J. P., Andreas Mueller +3 · 3 citations
    Computer Science · #Data Mining Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Neural Networks and Applications
  6. AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons
    2025/02/19 by Shaona Ghosh, Heather Frase, Ghosh, Shaona +200 · 1 voice · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #cs.AI #cs.CY
  7. Learning to reinforcement learn for Neural Architecture Search
    2019/11/09 by Jorge Gomez-Robles, Robles, J. Gomez, Joaquin Vanschoren +1 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics
  8. Automated Imbalanced Learning
    2022/11/01 by Prabhant Singh, Singh, Prabhant, Joaquin Vanschoren +1 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning and Data Classification #Statistical and Computational Modeling
  9. Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classification
    2021/07/13 by Irma van den Brandt, Brandt, Irma van den, Floris Fok +6 · 1 citation
    Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #COVID-19 diagnosis using AI #AI in cancer detection
  10. How NOT to benchmark your SITE metric: Beyond Static Leaderboards and Towards Realistic Evaluation
    2025/10/07 by Prabhant Singh, Singh, Prabhant, Hess, Sibylle +2 · 1 citation
    Business, Management and Accounting · Computer Science · #Artificial Intelligence (cs.AI) #Business Process Modeling and Analysis #FOS: Computer and information sciences #Machine Learning (cs.LG) #Semantic Web and Ontologies