Nitin Rathi
Electrical and Electronic Engineering · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 120 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 29 citations into it; #15,290 of 16,539 by trust here, #12,348 by citations
- Cognitive Neuroscience — 24 citations into it; #10,196 of 10,852 by trust here, #8,086 by citations
- Artificial Intelligence — 19 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it
- Efficiency & Compression — 7 citations into it
- Model Architectures — 6 citations into it
- Optimization & Training — 6 citations into it
Whom Nitin Rathi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Karen Simonyan
- Kaiming He
- Hesham Mostafa
- Geoffrey E. Hinton
- Andrew Zisserman
- Sergey Ioffe
- Paul J. Werbos
- X. Zhang
- Yann LeCun
Who trusts Nitin Rathi overall
Papers from Nitin Rathi's perspective
Ordered by how strongly the researchers Nitin Rathi trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)