Benoit Jacob
Artificial Intelligence · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it
- Computer Vision and Pattern Recognition — 24 citations into it; #9,004 of 21,575 by trust here, #3,875 by citations
- Model Architectures — 8 citations into it
Whom Benoit Jacob trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christian Szegedy
- Alex Krizhevsky
- Kaiming He
- Sergey Ioffe
- Geoffrey E. Hinton
- Ilya Sutskever
- Sanjiv Kumar
- Yoshua Bengio
- Jia Deng
- Karen Simonyan
Who trusts Benoit Jacob overall
- Markus Nagel
- Zhen Dong
- Ji Lin
- Young Geun Kim
- Gaurav Menghani
- Marcel Keller
- Raghuraman Krishnamoorthi
- Jeff Johnson
- Zi-Mei Yao
- Sara Hooker
Papers from Benoit Jacob's perspective
Ordered by how strongly the researchers Benoit Jacob 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)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference (2017) — 4,475 citations
- Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling (2019) — 215 citations