Piotr Milo's

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 5 papers; trusts 67 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 154 citations into it
• Reinforcement Learning — 107 citations into it
• Computer Vision and Pattern Recognition — 51 citations into it
• Meta & Continual Learning — 29 citations into it
• Evaluation & Benchmarks — 17 citations into it
• Optimization & Training — 17 citations into it
• Management Science and Operations Research — 16 citations into it
• Cognitive Neuroscience — 12 citations into it

Whom Piotr Milo's trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Richard S. Sutton
5. Yoshua Bengio
6. J. Urgen Schmidhuber
7. Ilya Sutskever
8. Yann LeCun
9. Volodymyr Mnih
10. Alex Graves

Who trusts Piotr Milo's overall

1. Danijar Hafner

Papers from Piotr Milo's's perspective

Ordered by how strongly the researchers Piotr Milo's 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Model-Based Reinforcement Learning for Atari (2019) — 995 citations
• Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers (2022) — 144 citations
• Continual World: A Robotic Benchmark For Continual Reinforcement Learning (2021) — 138 citations
• Expert-augmented actor-critic for ViZDoom and Montezumas Revenge (2018) — 8 citations
• Disentangling Transfer in Continual Reinforcement Learning (2022) — 42 citations