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Kolling, Camila

  1. Revisiting Privacy, Utility, and Efficiency Trade-offs when Fine-Tuning Large Language Models
    2025/02/18 by Soumi Das, Das, Soumi, Camila Kolling +13 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  2. Do Invariances in Deep Neural Networks Align with Human Perception?
    2021/11/29 by Vedant Nanda, Nanda, Vedant, Ayan Majumdar +11 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  3. Measuring Representational Robustness of Neural Networks Through Shared Invariances
    2022/06/23 by Vedant Nanda, Nanda, Vedant, Till Speicher +9 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Explainable Artificial Intelligence (XAI)
  4. Mitigating Bias in Facial Analysis Systems by Incorporating Label Diversity
    2022/04/13 by Kolling, Camila, Araujo, Victor, Veloso, Adriano +1 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  5. Large Language Models as Model Organisms for Human Associative Learning
    2025/10/24 by Kolling, Camila, Vo, Vy Ai, Toneva, Mariya · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)