Attaullah Sahito

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Artificial Intelligence — 11 citations into it

Whom Attaullah Sahito trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Mehdi Noroozi
4. Geoffrey E. Hinton
5. David P. Hughes
6. Jimmy Ba
7. Florian Schroff
8. Patryk Chrabaszcz
9. Yoshua Bengio
10. Hongyi Zhang

Papers from Attaullah Sahito's perspective

Ordered by how strongly the researchers Attaullah Sahito 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Better Self-training for Image Classification through Self-supervision (2021) — 13 citations