Trevon Badloe
Electronic, Optical and Magnetic Materials · 2020–2022
A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Electronic, Optical and Magnetic Materials — 43 citations into it
- Artificial Intelligence — 26 citations into it
- Biomedical Engineering — 24 citations into it
- Reinforcement Learning — 11 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
Whom Trevon Badloe trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Martin L. Puterman
- Carl Doersch
- Deborah A. Maranville
- Ronald H. W. Hoppe
- Volodymyr Kuleshov
- Shai Shalev-Shwartz
- Volodymyr Mnih
- Geoffrey E. Hinton
Papers from Trevon Badloe's perspective
Ordered by how strongly the researchers Trevon Badloe 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Playing Atari with Deep Reinforcement Learning (arXiv.org)
- Learning Multiple Layers of Features from Tiny Images
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Deep learning enabled inverse design in nanophotonics (2020) — 473 citations
- Tunable metasurfaces towards versatile metalenses and metaholograms: a review (2022) — 144 citations
- Sub-ambient daytime radiative cooling by silica-coated porous anodic aluminum oxide (2021) — 186 citations