Robert Adamski

Artificial Intelligence · 2013–2018

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it

Whom Robert Adamski trusts overall

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

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

Papers from Robert Adamski's perspective

Ordered by how strongly the researchers Robert 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. Human-level control through deep reinforcement learning
8. Asynchronous Methods for Deep Reinforcement Learning
9. ImageNet: A large-scale hierarchical image database
10. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Their papers

• Distributed Deep Reinforcement Learning: Learn how to play Atari games in 21 minutes (2018) — 37 citations
• Factors Affecting the Color of Roasted Cocoa Bean (2013) — 52 citations