Yatharth Dubey

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 48 citations into it
• Privacy & Security — 28 citations into it
• Statistics and Probability — 11 citations into it
• Sociology and Political Science — 10 citations into it
• Computational Theory and Mathematics — 7 citations into it
• Computer Science Applications — 7 citations into it
• Electrical and Electronic Engineering — 5 citations into it

Whom Yatharth Dubey trusts overall

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

1. Cynthia Dwork
2. Kobbi Nissim
3. Uri Stemmer
4. W. Reed
5. Adam D. Smith
6. Artem Barger
7. Frank McSherry
8. T-H. Hubert Chan
9. Bolin Ding
10. Lin Sun

Papers from Yatharth Dubey's perspective

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

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. What Can We Learn Privately?
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Randomized response: a survey technique for eliminating evasive answer bias.

Their papers

• The Power of the Hybrid Model for Mean Estimation (2018) — 18 citations