Kamilya Smagulova

Model Architectures · 2019–2024

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Model Architectures — 7 citations into it

Whom Kamilya Smagulova trusts overall

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

1. Felix Alexander Gers
2. J. Urgen Schmidhuber

Papers from Kamilya Smagulova's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. Learning to Forget: Continual Prediction with LSTM
4. Automatic differentiation in PyTorch
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Hardware implementation of memristor-based artificial neural networks (2024) — 429 citations
• A survey on LSTM memristive neural network architectures and applications (2019) — 482 citations