Jacqueline Gottlieb

Cognitive Neuroscience · 1998–2018

A researcher in the Science corpus: 10 papers; trusts 79 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Jacqueline Gottlieb trusts overall

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

  1. Richard S. Sutton
  2. Pierre-Yves Oudeyer
  3. Karl J. Friston
  4. J. Urgen Schmidhuber
  5. Andrew Barto
  6. Constantin A. Rothkopf
  7. Ethan S. Bromberg-Martin
  8. John H. Reynolds
  9. Peter S. Dayan
  10. Laurent Itti

Who trusts Jacqueline Gottlieb overall

  1. Pierre-Yves Oudeyer
  2. German Ignacio Parisi
  3. Ian C. Fiebelkorn
  4. Jun Shu
  5. Sébastien Forestier
  6. Sabine Kastner
  7. Sander Van de Cruys
  8. Ronald Kemker
  9. Kou Murayama

Papers from Jacqueline Gottlieb's perspective

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

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

Their papers