Efi Kokiopoulou

1. Transfer and Marginalize: Explaining Away Label Noise with Privileged Information
   2022/02/18 by Mark Collier, Rodolphe Jenatton, Collier, Mark +5 · 4 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
2. General techniques for approximate incidences and their application to the camera posing problem
   2019/03/17 by Dror Aiger, Aiger, Dror, Haim Kaplan +7 · 1 citation
   Computer Science · #Computational Geometry (cs.CG) #FOS: Computer and information sciences #cs.CG
3. SmartChoices: Augmenting Software with Learned Implementations
   2023/04/12 by Daniel Golovin, Gabor Bartok, Golovin, Daniel +19 · 1 voice
   Computer Science · #Advanced Malware Detection Techniques #Software Engineering Research #Software System Performance and Reliability #cs.LG #cs.SE
4. Correlated Input-Dependent Label Noise in Large-Scale Image Classification
   2021/05/19 by Mark Collier, Collier, Mark, Basil Mustafa +7 · 1 citation
   Computer Science · Mathematics · #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Image and Object Detection Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #cs.CV #cs.LG #stat.ML
5. A Simple Probabilistic Method for Deep Classification under Input-Dependent Label Noise
   2020/03/15 by Mark Collier, Basil Mustafa, Collier, Mark +7 · 2 citations
   Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Machine Learning and Data Classification #cs.LG #stat.ML
6. Ranking architectures using meta-learning
   2019/11/26 by Alina Dubatovka, Dubatovka, Alina, Efi Kokiopoulou +11 · 1 citation
   Computer Science · Mathematics · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #cs.LG #stat.ML