Anand Singh

Artificial Intelligence · with Bruni · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #32,364 of 35,345 by trust here, #33,294 by citations
• Computer Vision and Pattern Recognition — 14 citations into it; #19,902 of 21,575 by trust here, #20,756 by citations
• Natural Language Processing — 13 citations into it; #5,208 of 5,688 by trust here, #5,502 by citations

Whom Anand Singh trusts overall

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

1. Kyunghyun Cho
2. Dzmitry Bahdanau
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Ilya Sutskever
6. Diederik P. Kingma
7. Alex Krizhevsky
8. Thang Luong
9. Yann LeCun
10. Alex Graves

Who trusts Anand Singh overall

1. Yann Dubois
2. Kris Korrel

Papers from Anand Singh's perspective

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

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

Their papers

• Learning compositionally through attentive guidance (2018) — 31 citations