Md Rifat Arefin

Artificial Intelligence · 2022

A researcher in the Science corpus: 2 papers; trusts 90 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 88 citations into it
• Computer Vision and Pattern Recognition — 70 citations into it
• Meta & Continual Learning — 48 citations into it
• Model Architectures — 13 citations into it
• Reinforcement Learning — 5 citations into it

Whom Md Rifat Arefin 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. Diederik P. Kingma
6. Yann LeCun
7. Timothée Lesort
8. Ilya Sutskever
9. Christian Szegedy
10. Marc'Aurelio Ranzato

Papers from Md Rifat Arefin's perspective

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

Their papers

• Scaling the Number of Tasks in Continual Learning (2022) — 10 citations
• Continual Learning with Foundation Models: An Empirical Study of Latent Replay (2022) — 79 citations