Olivier Bichler
Artificial Intelligence · 2014–2020
A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 23 citations into it
- Computer Vision and Pattern Recognition — 21 citations into it
- Electrical and Electronic Engineering — 16 citations into it
- Representation & Self-Supervised Learning — 15 citations into it
- Cellular and Molecular Neuroscience — 9 citations into it
- Cognitive Neuroscience — 9 citations into it
- Meta & Continual Learning — 7 citations into it
Whom Olivier Bichler trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yann LeCun
- Yoshua Bengio
- Alex Krizhevsky
- Diederik P. Kingma
- L. V. D. van der Maaten
- Marc'Aurelio Ranzato
- Kaiming He
- L. Eon Bottou
- David Lopez-Paz
Who trusts Olivier Bichler overall
Papers from Olivier Bichler's perspective
Ordered by how strongly the researchers Olivier Bichler 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)
- Gradient-based learning applied to document 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
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Spin-transfer torque magnetic memory as a stochastic memristive synapse (2014) — 332 citations
- OvA-INN: Continual Learning with Invertible Neural Networks (2020) — 13 citations