Vahid Behbood

Representation & Self-Supervised Learning · 2015

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Representation & Self-Supervised Learning — 13 citations into it

Whom Vahid Behbood trusts overall

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

1. Sebastian Thrun
2. R. Caruana
3. Ronan Collobert
4. Wenyuan Dai
5. Daniel L. Silver
6. Jing Jiang
7. Gui-Rong Xue
8. Thorsten Joachims
9. Brian Roark
10. Sinno Jialin Pan

Papers from Vahid Behbood's perspective

Ordered by how strongly the researchers Vahid Behbood 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. Long Short-Term Memory
4. Multitask Learning
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Transfer learning using computational intelligence: A survey (2015) — 896 citations