Michal Daniluk

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Natural Language Processing — 22 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Model Architectures — 10 citations into it

Whom Michal Daniluk trusts overall

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

1. Diederik P. Kingma
2. Tomas Mikolov
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Jimmy Ba
6. Sepp Hochreiter
7. Jason Aaron Edward Weston
8. J. Urgen Schmidhuber
9. Alex Graves
10. Ilya Sutskever

Who trusts Michal Daniluk overall

1. Dan Otter
2. Dani Yogatama
3. Rami Al-Rfou
4. Yi Tay
5. Julian R. Medina
6. Dokook Choe

Papers from Michal Daniluk's perspective

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

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

Their papers

• Frustratingly Short Attention Spans in Neural Language Modeling (2017) — 119 citations