Garrick Orchard
Electrical and Electronic Engineering · 2015–2021
A researcher in the Science corpus: 7 papers; trusts 94 researchers and is trusted by 43 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 114 citations into it; #1,482 of 16,539 by trust here, #4,925 by citations
- Cognitive Neuroscience — 62 citations into it; #2,144 of 10,852 by trust here, #3,424 by citations
- Cellular and Molecular Neuroscience — 48 citations into it
- Computer Vision and Pattern Recognition — 44 citations into it; #21,014 of 21,575 by trust here, #15,162 by citations
- Artificial Intelligence — 37 citations into it
- Neuroscience — 6 citations into it
- Biophysics — 5 citations into it
Whom Garrick Orchard trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christoph Posch
- Yann LeCun
- T. Serrano‐Gotarredona
- Thomas Serre
- Yoshua Bengio
- Kwabena A. Boahen
- Geoffrey E. Hinton
- Antonio Torralba
- L. Eon Bottou
- David G. Lowe
Who trusts Garrick Orchard overall
- Michael Pfeiffer
- Henri Rebecq
- Gregory Cohen
- Wei Fang
- Daniel Neil
- Guillermo Gallego
- Tobi Delbruck
- Amos Sironi
- Shih-Chii Liu
- Daniel Gehrig
Papers from Garrick Orchard's perspective
Ordered by how strongly the researchers Garrick Orchard 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
Their papers
- HFirst: A Temporal Approach to Object Recognition (2015) — 306 citations
- Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades (2015) — 1,000 citations
- HOTS: A Hierarchy of Event-Based Time-Surfaces for Pattern Recognition (2017) — 656 citations
- Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook (2021) — 642 citations
- Event-Based Vision: A Survey (2019) — 2,710 citations
- SLAYER: Spike Layer Error Reassignment in Time (2018) — 931 citations
- Skimming Digits: Neuromorphic Classification of Spike-Encoded Images (2016) — 56 citations