A. Rupam Mahmood

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 141 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• Optimization & Training — 10 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Efficiency & Compression — 8 citations into it
• Meta & Continual Learning — 7 citations into it
• Model Architectures — 6 citations into it
• Reinforcement Learning — 5 citations into it

Whom A. Rupam Mahmood trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Yann LeCun
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Kaiming He
7. Jimmy Ba
8. Rahaf Aljundi
9. Ilya Sutskever
10. Jia Deng

Papers from A. Rupam Mahmood's perspective

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

Their papers

• Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning (2024) — 60 citations