Rakib Hyder
Artificial Intelligence · 2022
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 31 citations into it
- Meta & Continual Learning — 22 citations into it
- Computer Vision and Pattern Recognition — 21 citations into it
Whom Rakib Hyder trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Arslan Chaudhry
- Geoffrey E. Hinton
- Marc'Aurelio Ranzato
- Alex Krizhevsky
- Yoshua Bengio
- Yann LeCun
- Diederik P. Kingma
- Kaiming He
- David Lopez-Paz
- Oriol Vinyals
Who trusts Rakib Hyder overall
Papers from Rakib Hyder's perspective
Ordered by how strongly the researchers Rakib Hyder trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Incremental Task Learning with Incremental Rank Updates (2022) — 17 citations