Jemin George
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 Jemin George trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jemin George's perspective
Ordered by how strongly the researchers Jemin George 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
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- 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