Cornelius Glackin
Artificial Intelligence · 2013–2017
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 10 citations into it
- Cognitive Neuroscience — 5 citations into it; #5,199 of 10,852 by trust here, #5,990 by citations
- Reinforcement Learning — 5 citations into it; #1,326 of 2,242 by trust here, #1,663 by citations
Whom Cornelius Glackin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- J. Urgen Schmidhuber
- Andrew Barto
- Alexander S. Klyubin
- Daniel Polani
- Tobias Jung
- Satinder Singh
- Awni Y. Hannun
- Santiago Fernández
Who trusts Cornelius Glackin overall
Papers from Cornelius Glackin's perspective
Ordered by how strongly the researchers Cornelius Glackin 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Information Theory: 1948-1998 - Guest Editorial
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
Their papers
- Privacy preserving encrypted phonetic search of speech data (2017) — 34 citations
- Empowerment - an Introduction (2013) — 215 citations