Collier, Mark

1. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
   2025/07/07 by Gheorghe Comanici, Comanici, Gheorghe, Eric Bieber +6844 · 8 voices · 1362 citations
   #cs.CL #cs.AI
2. Implementing Neural Turing Machines
   2018/07/23 by Mark Collier, Joeran Beel, Collier, Mark +1 · 1 voice · 1 citation
   Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #Machine Learning and Algorithms #Ferroelectric and Negative Capacitance Devices
3. Plex: Towards Reliability using Pretrained Large Model Extensions
   2022/07/15 by Dustin Tran, Tran, Dustin, Jeremiah Liu +49 · 7 citations
   Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Domain Adaptation and Few-Shot Learning
4. Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning
   2021/06/07 by Zachary Nado, Nado, Zachary, Neil Band +49 · 5 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
5. VAEs in the Presence of Missing Data
   2020/06/09 by Mark Collier, Collier, Mark, Alfredo Nazábal +3 · 3 citations
   Decision Sciences · Energy · Engineering · #Energy Load and Power Forecasting #Energy, Environment, and Transportation Policies #FOS: Computer and information sciences #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. Deep Contextual Multi-armed Bandits
   2018/07/25 by Mark Collier, Collier, Mark, Héctor Llorens +1 · 2 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
7. Transfer and Marginalize: Explaining Away Label Noise with Privileged Information
   2022/02/18 by Collier, Mark, Jenatton, Rodolphe, Kokiopoulou, Efi +1 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
8. When does Privileged Information Explain Away Label Noise?
   2023/03/03 by Ortiz-Jimenez, Guillermo, Collier, Mark, Nawalgaria, Anant +4 · 2 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
9. Three Towers: Flexible Contrastive Learning with Pretrained Image Models
   2023/05/26 by Kossen, Jannik, Collier, Mark, Mustafa, Basil +7 · 2 citations
   #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
10. Scalable Deep Unsupervised Clustering with Concrete GMVAEs
    2019/09/18 by Collier, Mark, Urdiales, Hector · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
11. Correlated Input-Dependent Label Noise in Large-Scale Image\n Classification
    2021/05/19 by Mark Collier, Basil Mustafa, Collier, Mark +7 · 1 citation
    Computer Science · #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
12. Deep Classifiers with Label Noise Modeling and Distance Awareness
    2021/10/06 by Fortuin, Vincent, Collier, Mark, Wenzel, Florian +7 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
13. Massively Scaling Heteroscedastic Classifiers
    2023/01/30 by Collier, Mark, Jenatton, Rodolphe, Mustafa, Basil +3 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
14. A Simple Probabilistic Method for Deep Classification under Input-Dependent Label Noise
    2020/03/15 by Mark Collier, Collier, Mark, Basil Mustafa +7 · 1 citation
    Computer Science · #Machine Learning and Data Classification #Anomaly Detection Techniques and Applications #Adversarial Robustness in Machine Learning
15. Semantic Document Derendering: SVG Reconstruction via Vision-Language Modeling
    2025/11/17 by Hazimeh, Adam, Wang, Ke, Collier, Mark +3 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)