Prakash Ramrakhyani

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 75 citations into it
• Privacy & Security — 27 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Electrical and Electronic Engineering — 12 citations into it
• Information Systems — 12 citations into it
• Safety, Robustness & Interpretability — 12 citations into it
• Signal Processing — 12 citations into it
• Computer Networks and Communications — 10 citations into it

Whom Prakash Ramrakhyani trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Naftali Tishby
7. Ian J. Goodfellow
8. Cynthia Dwork
9. Ilya Sutskever
10. Craig Gentry

Papers from Prakash Ramrakhyani's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. ImageNet: A large-scale hierarchical image database
7. ImageNet Large Scale Visual Recognition Challenge
8. Long Short-Term Memory
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

• Shredder: Learning Noise Distributions to Protect Inference Privacy (2019) — 113 citations
• Shredder: Learning Noise to Protect Privacy with Partial DNN Inference on the Edge (2019) — 12 citations