Paul Mineiro
Artificial Intelligence · 1998–2021
A researcher in the Science corpus: 4 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 50 citations into it
- Reinforcement Learning — 28 citations into it
- Computer Vision and Pattern Recognition — 20 citations into it
- Management Science and Operations Research — 16 citations into it
- Statistical Learning Theory — 8 citations into it
- Optimization & Training — 8 citations into it
- Information Retrieval & Search — 5 citations into it
Whom Paul Mineiro trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- R´emi Munos
- Edward H. Adelson
- Richard S. Sutton
- Csaba Szepesvari
- Sham M. Kakade
- Alekh Agarwal
- Geoffrey E. Hinton
- J. Langford
- Nan Jiang
- Yoshua Bengio
Who trusts Paul Mineiro overall
Papers from Paul Mineiro's perspective
Ordered by how strongly the researchers Paul Mineiro trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
- Reinforcement Learning: An Introduction
Their papers
- Contextual Memory Trees (2018) — 10 citations
- Bellman-consistent Pessimism for Offline Reinforcement Learning (2021) — 335 citations
- Lessons from Real-World Reinforcement Learning in a Customer Support Bot (2019) — 4 citations
- Analysis of Direction Selectivity Arising from Recurrent Cortical Interactions (1998)