Mac Namee, Brian

1. What Makes Pre-trained Language Models Better Zero-shot Learners?
   2022/09/30 by Lu, Jinghui, Zhu, Dongsheng, Han, Weidong +3 · 5 citations
   #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
2. Stability of Topic Modeling via Matrix Factorization
   2017/02/23 by Belford, Mark, Mac Namee, Brian, Greene, Derek · 2 citations
   #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. On the Validity of Bayesian Neural Networks for Uncertainty Estimation
   2019/12/03 by John Mitros, Brian Mac Namee, Mitros, John +1 · 2 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
4. Semi-supervised dry herbage mass estimation using automatic data and\n synthetic images
   2021/10/26 by Paul S. Albert, Mohamed Saadeldin, Albert, Paul +13 · 1 citation
   Agricultural and Biological Sciences · Biochemistry, Genetics and Molecular Biology · Environmental Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Genetic and phenotypic traits in livestock #Remote Sensing in Agriculture #Smart Agriculture and AI
5. Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation
   2022/04/18 by Albert, Paul, Saadeldin, Mohamed, Narayanan, Badri +5 · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
6. Explaining Knock-on Effects of Bias Mitigation
   2023/12/01 by Svetoslav Nizhnichenkov, Rahul Nair, Nizhnichenkov, Svetoslav +5 · 1 citation
   Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI)