Chris L. Baker

Cognitive Neuroscience · 2000–2020

A researcher in the Science corpus: 19 papers; trusts 74 researchers and is trusted by 52 researchers here, as inferred from the citation graph.

Subfields

Whom Chris L. Baker trusts overall

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

  1. Dimitri P. Bertsekas
  2. Michael L. Littman
  3. John R. Anderson
  4. Richard S. Sutton
  5. György Gergely
  6. Wako Yoshida
  7. Gergely Csibra
  8. John-Dylan Haynes
  9. Andrew Y. Ng
  10. Alison Gopnik

Who trusts Chris L. Baker overall

  1. Tomer D. Ullman
  2. Josh Tenenbaum
  3. Noah D. Goodman
  4. Jorie Koster-Hale
  5. Julian Jara-Ettinger
  6. Rebecca Saxe
  7. Fiery Cushman
  8. Neil C. Rabinowitz
  9. Alan Jern
  10. Bing Han

Papers from Chris L. Baker's perspective

Ordered by how strongly the researchers Chris L. Baker 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  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. Reinforcement Learning: An Introduction

Their papers