Minjeong Kim
Computer Vision and Pattern Recognition · with Munsell · 2015
A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 30 citations into it; #19,987 of 21,575 by trust here, #13,815 by citations
- Representation & Self-Supervised Learning — 13 citations into it
- Artificial Intelligence — 11 citations into it
Whom Minjeong Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Honglak Lee
- Andrew Y. Ng
- Hugo Larochelle
- Aapo Hyvärinen
- Alex Krizhevsky
- Barbara Olshausen
- Yann LeCun
- Sam T. Roweis
Who trusts Minjeong Kim overall
Papers from Minjeong Kim's perspective
Ordered by how strongly the researchers Minjeong Kim 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)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- 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)