Navjot Singh
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 60 citations into it
- Optimization & Training — 51 citations into it
- Computer Networks and Communications — 27 citations into it
- Efficiency & Compression — 16 citations into it
- Federated & Distributed Learning — 14 citations into it
Whom Navjot Singh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Anastasia Koloskova
- Sebastian U. Stich
- Hanlin Tang
- Mahmoud Assran
- Martin Jaggi
- Gregory F. Coppola
- Alex Krizhevsky
- Kaiming He
- Hao Yu
- Geoffrey E. Hinton
Who trusts Navjot Singh overall
Papers from Navjot Singh's perspective
Ordered by how strongly the researchers Navjot Singh 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- SQuARM-SGD: Communication-Efficient Momentum SGD for Decentralized Optimization (2020) — 69 citations
- SPARQ-SGD: Event-Triggered and Compressed Communication in Decentralized Stochastic Optimization (2019) — 24 citations