Binny S

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Optimization & Training — 11 citations into it

Whom Binny S trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Sebastian Ruder
2. Ning Qian
3. Diederik P. Kingma
4. H. Brendan McMahan
5. Keke Chen
6. Jakub Konecný
7. Jimmy Ba

Who trusts Binny S overall

1. Priyanka Mary Mammen
2. Saber Salehkaleybar
3. Jed Mills
4. Badih Ghazi
5. Virat Shejwalkar
6. Nikola Konstantinov
7. Avishek Ghosh

Papers from Binny S's perspective

Ordered by how strongly the researchers Binny S trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• Federated Learning: Collaborative Machine Learning without Centralized Training Data (2022)