Abulikemu Abuduweili

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 90 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Computer Vision and Pattern Recognition — 38 citations into it
• Model Architectures — 19 citations into it
• Natural Language Processing — 12 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Abulikemu Abuduweili trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Yann LeCun
5. Yoshua Bengio
6. Diederik P. Kingma
7. Ilya Sutskever
8. Ross B. Girshick
9. Andrew Zisserman
10. Richard Socher

Papers from Abulikemu Abuduweili's perspective

Ordered by how strongly the researchers Abulikemu Abuduweili 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. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Escaping the Big Data Paradigm with Compact Transformers (2021) — 585 citations