Julien N. Siems
Artificial Intelligence · 2020
A researcher in the Science corpus: 2 papers; trusts 158 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 66 citations into it
- Computer Vision and Pattern Recognition — 50 citations into it
- Neural Architecture Search & AutoML — 34 citations into it
- Optimization & Training — 17 citations into it
- Evaluation & Benchmarks — 14 citations into it
- Model Architectures — 14 citations into it
- Management Science and Operations Research — 6 citations into it
- Materials Chemistry — 5 citations into it
Whom Julien N. Siems trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Frank Hutter
- Yoshua Bengio
- Barret Zoph
- Kaiming He
- Quoc V. Le
- Xuanyi Dong
- Diederik P. Kingma
- Yann LeCun
Who trusts Julien N. Siems overall
Papers from Julien N. Siems's perspective
Ordered by how strongly the researchers Julien N. Siems trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search (2020) — 158 citations
- NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search (2020) — 171 citations