Amirhossein Herandi

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #16,754 of 21,572 by trust here, #11,721 by citations
• Representation & Self-Supervised Learning — 14 citations into it
• Optimization & Training — 7 citations into it

Whom Amirhossein Herandi trusts overall

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

1. Yoshua Bengio
2. Yann LeCun
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Yurii E. Nesterov
6. Alex Krizhevsky
7. Andrew L. Maas
8. Xavier Glorot
9. Ross B. Girshick
10. Kaiming He

Who trusts Amirhossein Herandi overall

1. Krishna Kumar Singh
2. Hui Tang
3. Elie Aljalbout
4. Shiqi Yang
5. Yuheng Li

Papers from Amirhossein Herandi's perspective

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

Their papers

• Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization (2017) — 580 citations