Keivan Nalaie

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it; #17,537 of 21,575 by trust here, #20,756 by citations

Whom Keivan Nalaie trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Song Han
4. Ilya Sutskever
5. Yangqing Jia
6. Baoyuan Liu
7. Karen Simonyan
8. Yann LeCun
9. Andrew Zisserman
10. Yoshua Bengio

Who trusts Keivan Nalaie overall

1. Oscar Li
2. Chaofan CHEN
3. Alina Jade Barnett
4. Cynthia Rudin
5. Chaofan Tao

Papers from Keivan Nalaie's perspective

Ordered by how strongly the researchers Keivan Nalaie trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Efficient implementation of a generalized convolutional neural networks based on weighted euclidean distance (2017) — 15 citations