Lei Shi

Cognitive Neuroscience · with Griffiths · 2009–2010

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 13 citations into it
• Artificial Intelligence — 5 citations into it

Whom Lei Shi trusts overall

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

1. Konrad Paul Kording
2. Marc O. Ernst
3. Nathaniel D. Daw
4. D. M. Wolpert
5. John K. Kruschke
6. M. Banks
7. Karl J. Friston
8. Aaron C. Courville
9. Josh Tenenbaum
10. Tai Sing Lee

Who trusts Lei Shi overall

1. Uri Hasson
2. T. Griffiths
3. ChrisD . Frith
4. E. Vul
5. Samuel J. Gershman
6. Omri Abend
7. Tai Sing Lee
8. Adam N. Sanborn
9. Noah D. Goodman
10. Dejan Pecevski

Papers from Lei Shi's perspective

Ordered by how strongly the researchers Lei Shi 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. Long Short-Term Memory
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Hierarchical Bayesian inference in the visual cortex. (Journal of The Optical Society of America A-optics Image Science and Vision)
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Exemplar models as a mechanism for performing Bayesian inference (2010) — 143 citations
• Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling (2009) — 94 citations