Nikolay Sakharnykh

2021

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Nikolay Sakharnykh trusts overall

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

1. Individualized Treat
2. Mehdi Mirza
3. Kaiming He
4. Alec Radford
5. Simon Osindero
6. X. Zhang

Papers from Nikolay Sakharnykh's perspective

Ordered by how strongly the researchers Nikolay Sakharnykh 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. GENERATIVE ADVERSARIAL NETS
3. ImageNet classification with deep convolutional neural networks
4. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
5. Gradient-based learning applied to document recognition
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• A Data-Centric Approach for Training Deep Neural Networks with Less Data (2021) — 72 citations