Christian Gagné
Artificial Intelligence · 2012–2018
A researcher in the Science corpus: 6 papers; trusts 99 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 55 citations into it; #20,030 of 35,345 by trust here, #12,387 by citations
- Computer Vision and Pattern Recognition — 27 citations into it
- Optimization & Training — 27 citations into it
- Computational Theory and Mathematics — 12 citations into it; #9,572 of 12,182 by trust here, #8,756 by citations
- Safety, Robustness & Interpretability — 11 citations into it
- Sociology and Political Science — 8 citations into it
- Management Science and Operations Research — 6 citations into it
- Evolutionary Computation — 5 citations into it
Whom Christian Gagné trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- James Bergstra
- Yoshua Bengio
- Alex Krizhevsky
- Christian Szegedy
- Ian J. Goodfellow
- Ilya Sutskever
- Diederik P. Kingma
- Kaiming He
- Yann LeCun
Who trusts Christian Gagné overall
Papers from Christian Gagné's perspective
Ordered by how strongly the researchers Christian Gagné 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities (2018) — 317 citations
- Learning to predict indoor illumination from a single image (2017) — 398 citations
- Bayesian Hyperparameter Optimization for Ensemble Learning (2016) — 63 citations
- Robustness to Adversarial Examples through an Ensemble of Specialists (2017) — 112 citations
- Bayesian optimization for conditional hyperparameter spaces (2017) — 44 citations
- DEAP: evolutionary algorithms made easy (2012) — 2,138 citations