Asmaul Hosna

Representation & Self-Supervised Learning · 2022

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

Subfields

• Representation & Self-Supervised Learning — 7 citations into it

Whom Asmaul Hosna trusts overall

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

1. Deborah A. Maranville
2. Rajat Raina
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. R. Caruana
6. Karen Simonyan
7. Ingo Steinwart
8. Bianca Zadrozny
9. Lotfi A. Zadeh
10. Ilya Sutskever

Papers from Asmaul Hosna's perspective

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

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

Their papers

• Transfer learning: a friendly introduction (2022) — 490 citations