Marco Loog

1. The Shape of Learning Curves: a Review
   2021/03/19 by Tom J. Viering, Marco Loog, Viering, Tom +1 · 7 citations
   Computer Science · Decision Sciences · #Data Analysis with R #FOS: Computer and information sciences #Forecasting Techniques and Applications #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG)
2. Respecting Domain Relations: Hypothesis Invariance for Domain Generalization
   2020/10/15 by Ziqi Wang, Wang, Ziqi, Marco Loog +3 · 3 citations
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
3. How to Manipulate CNNs to Make Them Lie: the GradCAM Case
   2019/07/25 by Tom J. Viering, Viering, Tom, Ziqi Wang +5 · 3 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
4. Minimizers of the Empirical Risk and Risk Monotonicity
   2019/07/11 by Marco Loog, Loog, Marco, Tom J. Viering +3 · 2 citations
   Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
5. The Peaking Phenomenon in Semi-supervised Learning
   2016/10/17 by Jesse H. Krijthe, Krijthe, Jesse H., Marco Loog +1 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Neural Networks and Applications
6. Black Magic in Deep Learning: How Human Skill Impacts Network Training
   2020/08/13 by Kanav Anand, Ziqi Wang, Anand, Kanav +5 · 1 citation
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning and Data Classification #Stochastic Gradient Optimization Techniques