Luiz Gustavo Hafemann
Artificial Intelligence · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 106 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 28 citations into it
- Computer Vision and Pattern Recognition — 24 citations into it
- Safety, Robustness & Interpretability — 16 citations into it
- Model Architectures — 7 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Luiz Gustavo Hafemann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Alex Krizhevsky
- Christian Szegedy
- Yann LeCun
- Karen Simonyan
- Sergey Ioffe
- Ilya Sutskever
- Kaiming He
- Andrew Zisserman
Who trusts Luiz Gustavo Hafemann overall
Papers from Luiz Gustavo Hafemann's perspective
Ordered by how strongly the researchers Luiz Gustavo Hafemann 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)