Gregory Cohen
Computer Vision and Pattern Recognition · 2015–2017
A researcher in the Science corpus: 4 papers; trusts 52 researchers and is trusted by 46 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 22 citations into it; #5,120 of 21,575 by trust here, #4,555 by citations
- Electrical and Electronic Engineering — 17 citations into it; #3,368 of 16,539 by trust here, #7,308 by citations
- Artificial Intelligence — 14 citations into it; #6,568 of 35,345 by trust here, #6,193 by citations
- Cellular and Molecular Neuroscience — 10 citations into it
- Cognitive Neuroscience — 5 citations into it; #2,913 of 10,852 by trust here, #4,352 by citations
Whom Gregory Cohen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun
- Patrick Grother
- Alex Krizhevsky
- Garrick Orchard
- A. van Schaik
- Christoph Posch
- L. Eon Bottou
- G. Huang
- Yoshua Bengio
- Adam Coates
Who trusts Gregory Cohen overall
- Peter Sorrenson
- Peter Kairouz
- Wenpeng Hu
- Tzu-Ming Harry Hsu
- Matthias Hein
- Krishna Pillutla
- Yutao Huang
- Nanqing Dong
- Tian Li
- Jerry Ma
Papers from Gregory Cohen's perspective
Ordered by how strongly the researchers Gregory Cohen 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)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- EMNIST: an extension of MNIST to handwritten letters (2017) — 809 citations
- EMNIST: Extending MNIST to handwritten letters (2017) — 1,889 citations
- Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades (2015) — 1,000 citations
- Skimming Digits: Neuromorphic Classification of Spike-Encoded Images (2016) — 56 citations