Nader Asadi

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 101 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 65 citations into it
• Computer Vision and Pattern Recognition — 55 citations into it
• Representation & Self-Supervised Learning — 29 citations into it
• Reinforcement Learning — 5 citations into it

Whom Nader Asadi trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Yoshua Bengio
5. Yann LeCun
6. Diederik P. Kingma
7. Rahaf Aljundi
8. Marc'Aurelio Ranzato
9. Andrew Zisserman
10. Ross B. Girshick

Papers from Nader Asadi's perspective

Ordered by how strongly the researchers Nader Asadi 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. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• New Insights on Reducing Abrupt Representation Change in Online Continual Learning (2021) — 295 citations
• Probing Representation Forgetting in Supervised and Unsupervised Continual Learning (2022) — 98 citations