Mark Collier

Publications by Year

Research Areas

Domain Adaptation and Few-Shot Learning, Machine Learning and Data Classification, Advanced Neural Network Applications, Adversarial Robustness in Machine Learning, Multimodal Machine Learning Applications

Most-Cited Works

• → Scaling Vision Transformers to 22 Billion Parameters(2023)118 cited
• → Implementing Neural Turing Machines(2018)53 cited
• Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning(2021)
• → A Simple Probabilistic Method for Deep Classification under Input-Dependent Label Noise(2020)12 cited
• → VAEs in the Presence of Missing Data(2020)10 cited
• → Deep Contextual Multi-armed Bandits(2018)10 cited
• → Routing Networks with Co-training for Continual Learning(2020)9 cited
• → Scalable Deep Unsupervised Clustering with Concrete GMVAEs(2019)5 cited
• → Memory-Augmented Neural Networks for Machine Translation(2019)3 cited