Chiraag Shashikant Juvekar
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 25 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 22 citations into it; #7,907 of 35,345 by trust here, #12,244 by citations
- Privacy & Security — 16 citations into it; #192 of 709 by trust here, #323 by citations
- Computer Vision and Pattern Recognition — 10 citations into it
- Computational Theory and Mathematics — 9 citations into it
Whom Chiraag Shashikant Juvekar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Craig Gentry
- Zvika Brakerski
- Pascal Paillier
- Shai Halevi
- Karen Simonyan
- Kaiming He
- Payman Mohassel
- M. Sadegh Riazi
- Junfeng Fan
- Oded Goldreich
Who trusts Chiraag Shashikant Juvekar overall
- Sameer Wagh
- Fatemehsadat Mireshghallah
- Adrià Gascón
- Divya Gupta
- Mohammadkazem Taram
- Florian Tramèr
- M. Sadegh Riazi
- Hao Chen
- Nishanth Chandran
- Alon Brutzkus
Papers from Chiraag Shashikant Juvekar's perspective
Ordered by how strongly the researchers Chiraag Shashikant Juvekar trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Gazelle: A Low Latency Framework for Secure Neural Network Inference (2018) — 1,108 citations