Heba Askr
Artificial Intelligence Review · 2022
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Heba Askr trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Teuvo Kohonen
- Karen Simonyan
- G. Way
- Geoffrey E. Hinton
- Avanti Shrikumar
- Jost Tobias Springenberg
- David Ryan Koes
- Hakime Öztürk
- Diederik P. Kingma
- Alex Krizhevsky
Papers from Heba Askr's perspective
Ordered by how strongly the researchers Heba Askr 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Deep learning in drug discovery: an integrative review and future challenges (2022) — 302 citations