Darjan Salaj

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it; #22,235 of 35,345 by trust here, #15,236 by citations
• Cognitive Neuroscience — 22 citations into it; #5,716 of 10,852 by trust here, #4,443 by citations
• Model Architectures — 10 citations into it
• Optimization & Training — 10 citations into it
• Cellular and Molecular Neuroscience — 8 citations into it

Whom Darjan Salaj trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yoshua Bengio
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Xavier Glorot
5. Quoc V. Le
6. Alex Graves
7. David Sussillo
8. Jimmy Ba
9. Ronald J. Williams
10. Alex Krizhevsky

Who trusts Darjan Salaj overall

1. Friedemann Zenke
2. Emre O. Neftci
3. Nitin Rathi
4. Gopalakrishnan Srinivasan
5. Guillaume Bellec
6. Bing Han
7. Mingqing Xiao
8. Jason Kamran Eshraghian

Papers from Darjan Salaj's perspective

Ordered by how strongly the researchers Darjan Salaj trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Long short-term memory and Learning-to-learn in networks of spiking neurons (2018) — 601 citations
• A solution to the learning dilemma for recurrent networks of spiking neurons (2019) — 631 citations