Jaswinder Singh
Molecular Biology · with Hanson · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 33 citations into it
- Artificial Intelligence — 18 citations into it
- Model Architectures — 14 citations into it
- Optimization & Training — 14 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Jaswinder Singh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Sepp Hochreiter
- Kaiming He
- Jimmy Ba
- Kengo Sato
- Alex Krizhevsky
- Mike Schuster
- Kuldip K. Paliwal
- Nitish Srivastava
- J. Urgen Schmidhuber
Who trusts Jaswinder Singh overall
Papers from Jaswinder Singh's perspective
Ordered by how strongly the researchers Jaswinder Singh trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)