D. Bulsara

Cognitive Neuroscience · 2022

A researcher in the Science corpus: 1 paper; trusts 75 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 24 citations into it
• Electrical and Electronic Engineering — 23 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Artificial Intelligence — 14 citations into it
• Model Architectures — 10 citations into it
• Cellular and Molecular Neuroscience — 7 citations into it

Whom D. Bulsara trusts overall

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

1. Eugene M. Izhikevich
2. Kaiming He
3. Ross B. Girshick
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Shaoqing Ren
7. George V. Cybenko
8. Yann LeCun
9. Karen Simonyan
10. Evan Shelhamer

Papers from D. Bulsara's perspective

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

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

Their papers

• Spiking Neural Networks and Their Applications: A Review (2022) — 572 citations