Minjoon Kouh
Cognitive Neuroscience · 2005–2008
A researcher in the Science corpus: 4 papers; trusts 80 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 80 citations into it; #4,916 of 10,852 by trust here, #3,544 by citations
- Computer Vision and Pattern Recognition — 35 citations into it
- Neuroscience — 31 citations into it
- Cellular and Molecular Neuroscience — 26 citations into it
- Representation & Self-Supervised Learning — 12 citations into it
- Artificial Intelligence — 10 citations into it
- Electrical and Electronic Engineering — 7 citations into it; #14,373 of 16,539 by trust here, #11,313 by citations
- Molecular Biology — 6 citations into it
Whom Minjoon Kouh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tomaso A. Poggio
- David J. Heeger
- Maximilian Riesenhuber
- Thomas Serre
- Odelia Schwartz
- Eero P. Simoncelli
- David H. Hubel
- Nicole C. Rust
- K. Britten
- Nikos K. Logothetis
Who trusts Minjoon Kouh overall
- Fabio Anselmi
- David J. Heeger
- Tomaso A. Poggio
- Thomas Serre
- James J. DiCarlo
- Timothée Masquelier
- Nicole C. Rust
- Adam Henry Marblestone
- Jeremy Freeman
- John H. Reynolds
Papers from Minjoon Kouh's perspective
Ordered by how strongly the researchers Minjoon Kouh trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- A Canonical Neural Circuit for Cortical Nonlinear Operations (2008) — 181 citations
- Trade-Off between Object Selectivity and Tolerance in Monkey Inferotemporal Cortex (2007) — 172 citations
- A quantitative theory of immediate visual recognition. (2007) — 301 citations
- A Theory of Object Recognition: Computations and Circuits in the Feedforward Path of the Ventral Stream in Primate Visual Cortex (2005) — 332 citations