Gaurav Menghani
Artificial Intelligence · 2021–2025
A researcher in the Science corpus: 2 papers; trusts 1,098 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 78 citations into it; #18,409 of 35,345 by trust here, #30,347 by citations
- Computer Vision and Pattern Recognition — 73 citations into it; #11,609 of 21,575 by trust here, #19,310 by citations
- Efficiency & Compression — 35 citations into it; #662 of 1,264 by trust here, #1,215 by citations
- Model Architectures — 24 citations into it
- Natural Language Processing — 15 citations into it
- Optimization & Training — 15 citations into it
- Representation & Self-Supervised Learning — 11 citations into it
- Electrical and Electronic Engineering — 7 citations into it
Whom Gaurav Menghani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Yann LeCun
- Kaiming He
- Ilya Sutskever
- Diederik P. Kingma
- Karen Simonyan
- Quoc V. Le
- Oriol Vinyals
Who trusts Gaurav Menghani overall
Papers from Gaurav Menghani's perspective
Ordered by how strongly the researchers Gaurav Menghani 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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)
- Going deeper with convolutions