Chaouki Ben Issaid
Artificial Intelligence · 2020
A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 39 citations into it
- Computer Networks and Communications — 26 citations into it
- Electrical and Electronic Engineering — 17 citations into it
- Computational Mechanics — 15 citations into it
- Optimization & Training — 14 citations into it
- ML Systems & Hardware — 9 citations into it
Whom Chaouki Ben Issaid trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jihong Park
- Anis Elgabli
- H. Brendan McMahan
- Medhi Bennis
- Jakub Konecný
- Hao Yu
- Li Chen
- Tianyi Chen
- Sumudu Samarakoon
- Geoffrey E. Hinton
Who trusts Chaouki Ben Issaid overall
Papers from Chaouki Ben Issaid's perspective
Ordered by how strongly the researchers Chaouki Ben Issaid 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)
- 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
- ImageNet: A large-scale hierarchical image database
- Distilling the Knowledge in a Neural Network (arXiv.org)
- 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)
Their papers
- Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning (2020) — 72 citations
- Communication Efficient Distributed Learning with Censored, Quantized, and Generalized Group ADMM (2020) — 13 citations