Aleksi Tukiainen
Artificial Intelligence · 2017
A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 40 citations into it
- Reinforcement Learning — 32 citations into it
- Computer Networks and Communications — 12 citations into it
- Management Science and Operations Research — 9 citations into it
- Optimization & Training — 7 citations into it
- Electrical and Electronic Engineering — 6 citations into it
Whom Aleksi Tukiainen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ronald J. Williams
- Ali H. Sayed
- Diederik P. Kingma
- Jimmy Ba
- Richard S. Sutton
- Dimitri P. Bertsekas
- Yoshua Bengio
- Ermin Wei
- Geoffrey E. Hinton
- Richard M. Karp
Who trusts Aleksi Tukiainen overall
Papers from Aleksi Tukiainen's perspective
Ordered by how strongly the researchers Aleksi Tukiainen trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Diff-DAC: Distributed Actor-Critic for Average Multitask Deep Reinforcement Learning (2017) — 31 citations
- Diff-DAC: Distributed Actor-Critic for Multitask Deep Reinforcement Learning (2017) — 17 citations