Prabhant Singh
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 9 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Model Architectures — 8 citations into it
- Neural Architecture Search & AutoML — 6 citations into it
Whom Prabhant Singh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Barret Zoph
- Ronald J. Williams
- Geoffrey E. Hinton
- Quoc V. Le
- Sepp Hochreiter
- Ilya Sutskever
- Hiroaki Kitano
- Yoshua Bengio
- J. Urgen Schmidhuber
Who trusts Prabhant Singh overall
Papers from Prabhant Singh's perspective
Ordered by how strongly the researchers Prabhant Singh 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)