Ian Whalen
Artificial Intelligence · 2018
A researcher in the Science corpus: 2 papers; trusts 138 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 63 citations into it; #26,062 of 35,345 by trust here, #18,186 by citations
- Computer Vision and Pattern Recognition — 53 citations into it; #15,990 of 21,575 by trust here, #12,172 by citations
- Model Architectures — 26 citations into it
- Neural Architecture Search & AutoML — 24 citations into it; #241 of 283 by trust here, #217 by citations
- Optimization & Training — 14 citations into it
- Reinforcement Learning — 9 citations into it
Whom Ian Whalen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Barret Zoph
- Geoffrey E. Hinton
- Karen Simonyan
- Ilya Sutskever
- Christian Szegedy
- Yoshua Bengio
- Quoc V. Le
- Yann LeCun
Who trusts Ian Whalen overall
Papers from Ian Whalen's perspective
Ordered by how strongly the researchers Ian Whalen 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)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- NSGA-Net: neural architecture search using multi-objective genetic algorithm (2018) — 544 citations
- NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search (2018) — 88 citations