Nabil Ibtehaz
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 1 paper; trusts 135 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 34 citations into it
- Artificial Intelligence — 27 citations into it; #9,369 of 35,345 by trust here, #20,377 by citations
- Model Architectures — 9 citations into it
- Oncology — 6 citations into it
- Optimization & Training — 6 citations into it
- Biomedical Engineering — 5 citations into it
Whom Nabil Ibtehaz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun
- Diederik P. Kingma
- Christian Szegedy
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Sebastian Ruder
- Ron Kohavi
- Kaiming He
- Evan Shelhamer
Who trusts Nabil Ibtehaz overall
- Hasib Zunair
- Shunyi Zheng
- F. Sultana
- Debesh Jha
- Nahian Alam Siddique
- Tongle Fan
- Daifeng Peng
- Tao Lei
- A. Ben Hamza
- Chenxi Duan
Papers from Nabil Ibtehaz's perspective
Ordered by how strongly the researchers Nabil Ibtehaz 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- MultiResUNet : Rethinking the U-Net Architecture for Multimodal Biomedical Image Segmentation (2019) — 2,084 citations