Michael Everett
Artificial Intelligence · 2016–2022
A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 47 citations into it; #8,277 of 35,345 by trust here, #12,387 by citations
- Reinforcement Learning — 33 citations into it
- Computer Vision and Pattern Recognition — 30 citations into it; #8,859 of 21,575 by trust here, #11,721 by citations
- Management Science and Operations Research — 13 citations into it
- Aerospace Engineering — 11 citations into it
- Computer Networks and Communications — 9 citations into it
- Automotive Engineering — 6 citations into it; #196 of 3,081 by trust here, #1,117 by citations
- Control and Systems Engineering — 6 citations into it
Whom Michael Everett trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yu Fan Chen
- Ilya Sutskever
- Geoffrey E. Hinton
- Volodymyr Mnih
- Jur van den Berg
- Yoshua Bengio
- Jimmy Ba
- Alex Graves
- Kyunghyun Cho
Who trusts Michael Everett overall
- Kai Zhu
- Christoforos Mavrogiannis
- Tingxiang Fan
- Pinxin Long
- Huy Ha
- Tao Zhang
- Chen Tang
- Lei Tai
- Yu Fan Chen
- Francesca Baldini
Papers from Michael Everett's perspective
Ordered by how strongly the researchers Michael Everett trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Decentralized non-communicating multiagent collision avoidance with deep reinforcement learning (2016) — 697 citations
- Socially aware motion planning with deep reinforcement learning (2017) — 777 citations
- Influencing Long-Term Behavior in Multiagent Reinforcement Learning (2022) — 28 citations
- Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning (2018) — 618 citations