Deepika Singh

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it

Whom Deepika Singh trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Honglak Lee
2. Diederik P. Kingma
3. Ling Bao
4. Stephen S. Intille
5. Emmanuel Munguia Tapia
6. Jimmy Ba
7. Geoffrey E. Hinton
8. Tim van Kasteren
9. J. Urgen Schmidhuber
10. Wanmin Wu

Who trusts Deepika Singh overall

1. Andreas Holzinger

Papers from Deepika Singh's perspective

Ordered by how strongly the researchers Deepika Singh trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Human Activity Recognition Using Recurrent Neural Networks (2017) — 167 citations