Michael Castelle
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 47 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it; #14,565 of 35,345 by trust here, #32,362 by citations
- Natural Language Processing — 9 citations into it; #2,688 of 5,688 by trust here, #5,412 by citations
- Information Systems — 6 citations into it
- Safety, Robustness & Interpretability — 5 citations into it; #972 of 2,251 by trust here, #2,205 by citations
Whom Michael Castelle trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Kyunghyun Cho
- John C. Duchi
- William Warner
- Ji Ho Park
- Yoshua Bengio
- Jimmy Ba
- Armand Joulin
- Junyoung Chung
- Geoffrey E. Hinton
Who trusts Michael Castelle overall
Papers from Michael Castelle's perspective
Ordered by how strongly the researchers Michael Castelle trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- 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)
Their papers
- The Linguistic Ideologies of Deep Abusive Language Classification (2018) — 29 citations