Robert Ajemian
Artificial Intelligence · 2013–2018
A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 26 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it; #8,571 of 35,345 by trust here, #3,937 by citations
- Meta & Continual Learning — 11 citations into it; #238 of 1,041 by trust here, #63 by citations
- Model Architectures — 11 citations into it
- Reinforcement Learning — 11 citations into it
Whom Robert Ajemian trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Urgen Schmidhuber
- Matthew Riemer
- Richard S. Sutton
- Geoffrey E. Hinton
- Michael I. Jordan
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Alex Krizhevsky
- David Lopez-Paz
Who trusts Robert Ajemian overall
- D. Bassett
- Lucas Caccia
- Zheda Mai
- Zhen Wang
- Marc Masana
- Arslan Chaudhry
- Seyed Iman Mirzadeh
- Matthew Riemer
- Matteo Boschini
- Mehrdad Farajtabar
Papers from Robert Ajemian's perspective
Ordered by how strongly the researchers Robert Ajemian 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)
- 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
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)