Behnam Neyshabur

Molecular Biology · with Hashemifar · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 15 citations into it
• Artificial Intelligence — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Behnam Neyshabur trusts overall

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

1. Yoshua Bengio
2. Matthew D. Zeiler
3. Tobias Hamp
4. Rob Fergus

Who trusts Behnam Neyshabur overall

1. Patrick Bryant

Papers from Behnam Neyshabur's perspective

Ordered by how strongly the researchers Behnam Neyshabur 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Predicting protein‐protein interactions through sequence‐based deep learning (2018) — 339 citations