Richa Singh
Artificial Intelligence · with Keshari · 2018
A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it; #29,121 of 35,345 by trust here, #34,213 by citations
- Computer Vision and Pattern Recognition — 6 citations into it; #17,878 of 21,575 by trust here, #21,103 by citations
- Optimization & Training — 6 citations into it
Whom Richa Singh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yarin Gal
- Yann LeCun
- Diederik P. Kingma
- Jimmy Ba
- Nitish Srivastava
- Yoshua Bengio
- Ilya Sutskever
- Ruslan Salakhutdinov
Who trusts Richa Singh overall
Papers from Richa Singh's perspective
Ordered by how strongly the researchers Richa 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)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
Their papers
- Guided Dropout (2018) — 37 citations