Rahul Sharma
Artificial Intelligence · with Rathee · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 63 citations into it; #32,491 of 35,345 by trust here, #25,809 by citations
- Privacy & Security — 36 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it; #19,956 of 21,575 by trust here, #17,757 by citations
- Computational Theory and Mathematics — 12 citations into it
- Electrical and Electronic Engineering — 7 citations into it
- Hardware and Architecture — 7 citations into it
- ML Systems & Hardware — 7 citations into it
- Model Architectures — 7 citations into it
Whom Rahul Sharma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Rahul Sharma overall
Papers from Rahul Sharma's perspective
Ordered by how strongly the researchers Rahul Sharma trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- ImageNet classification with deep convolutional neural networks
- Densely Connected Convolutional Networks
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- CrypTFlow: Secure TensorFlow Inference (2019) — 280 citations
- CrypTFlow2: Practical 2-Party Secure Inference (2020) — 450 citations