Igor Adamski

Artificial Intelligence · 1 papers · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it

Whom Igor Adamski trusts overall

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

1. Diederik P. Kingma
2. Volodymyr Mnih
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. David Silver
6. Mohammad Babaeizadeh
7. Alex Krizhevsky
8. John Schulman
9. Yoshua Bengio
10. Jimmy Ba

Papers from Igor Adamski's perspective

Ordered by how strongly the researchers Igor Adamski 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Distributed Deep Reinforcement Learning: Learn how to play Atari games in 21 minutes (2018) — 37 citations