Chandra Thapa
Artificial Intelligence · 2020
A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 36 citations into it; #28,037 of 35,345 by trust here, #26,682 by citations
- Federated & Distributed Learning — 14 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Privacy & Security — 11 citations into it
- Optimization & Training — 7 citations into it
Whom Chandra Thapa trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Otkrist Gupta
- H. Brendan McMahan
- Kaiming He
- Praneeth Vepakomma
- Jakub Konecný
- Ramesh Raskar
- Geoffrey E. Hinton
- Alex Krizhevsky
- X. Zhang
- Keith Bonawitz
Who trusts Chandra Thapa overall
Papers from Chandra Thapa's perspective
Ordered by how strongly the researchers Chandra Thapa 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)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things (2020) — 244 citations
- SplitFed: When Federated Learning Meets Split Learning (2020) — 923 citations