Digvijay Boob

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #20,162 of 35,345 by trust here, #26,682 by citations
• Optimization & Training — 9 citations into it
• Computational Mechanics — 8 citations into it

Whom Digvijay Boob trusts overall

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

1. Guanghui Lan
2. Saeed Ghadimi
3. Avrim Blum
4. Arkadi Nemirovski
5. Yurii E. Nesterov
6. Anatoli B. Juditsky
7. Alex Krizhevsky
8. Geoffrey E. Hinton
9. R. Rivest
10. Andrew R. Barron

Who trusts Digvijay Boob overall

1. Yuanzhi Li
2. Zeyuan Allen-Zhu
3. Itay Safran
4. Yingyu Liang

Papers from Digvijay Boob's perspective

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

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

Their papers

• Theoretical properties of the global optimizer of two layer neural network (2017) — 34 citations