Nitin Agrawal

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Optimization & Training — 14 citations into it
• Privacy & Security — 14 citations into it
• Computational Theory and Mathematics — 8 citations into it

Whom Nitin Agrawal trusts overall

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

1. Niv Gilboa
2. Sergey Ioffe
3. Kaiming He
4. Yann LeCun
5. Thomas Schneider
6. Adrià Gascón
7. Payman Mohassel
8. Phillipp Schoppmann
9. Vladimir Kolesnikov
10. Simon S. Haykin

Who trusts Nitin Agrawal overall

1. Zhicong Huang
2. Fatemehsadat Mirshghallah
3. Sameer Wagh
4. Bo Li
5. Wen-jie Lu
6. Mohammadkazem Taram
7. Nishant Kumar

Papers from Nitin Agrawal's perspective

Ordered by how strongly the researchers Nitin Agrawal 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• QUOTIENT: Two-Party Secure Neural Network Training and Prediction (2019) — 245 citations