Bennie Vorster
Artificial Intelligence
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it
Whom Bennie Vorster trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Urgen Schmidhuber (in Artificial Intelligence)
- Geoffrey E. Hinton (in Artificial Intelligence)
Papers from Bennie Vorster's perspective
Ordered by how strongly the researchers Bennie Vorster trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
- Deep learning in neural networks: An overview
- An Empirical Evaluation of Deep Learning on Highway Driving
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)