Shashi Raj Pandey
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 32 citations into it
- Electrical and Electronic Engineering — 18 citations into it
- Federated & Distributed Learning — 14 citations into it
- Optimization & Training — 14 citations into it
Whom Shashi Raj Pandey trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jakub Konecný
- Sebastian U. Stich
- Ohad Shamir
- Stephen P. Boyd
- H. Brendan McMahan
- Jianyu Wang
- Nati Srebro
- Shai Shalev-Shwartz
- Peter Richtárik
- Forrest N. Iandola
Who trusts Shashi Raj Pandey overall
Papers from Shashi Raj Pandey's perspective
Ordered by how strongly the researchers Shashi Raj Pandey 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
Their papers
- Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism (2019) — 447 citations
- Intelligent Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond: A Deep Reinforcement Learning Based Approach (2020) — 307 citations
- A Crowdsourcing Framework for On-Device Federated Learning (2019) — 296 citations