Olivier Tieleman
Artificial Intelligence · 2020
A researcher in the Science corpus: 2 papers; trusts 41 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 46 citations into it; #23,496 of 35,345 by trust here, #17,776 by citations
- Reinforcement Learning — 37 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it; #14,529 of 21,575 by trust here, #11,950 by citations
- Natural Language Processing — 12 citations into it; #3,959 of 5,688 by trust here, #4,601 by citations
Whom Olivier Tieleman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ronald J. Williams
- Kaiming He
- Sepp Hochreiter
- Geoffrey E. Hinton
- J. Urgen Schmidhuber
- Ilya Sutskever
- Yoshua Bengio
- Alex Krizhevsky
- Richard S. Sutton
- Diederik P. Kingma
Who trusts Olivier Tieleman overall
Papers from Olivier Tieleman's perspective
Ordered by how strongly the researchers Olivier Tieleman trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Multi-agent Communication meets Natural Language: Synergies between Functional and Structural Language Learning (2020) — 114 citations
- Never Give Up: Learning Directed Exploration Strategies (2020) — 360 citations