Jacob Menick

Artificial Intelligence · with Chen · 2017–2024

A researcher in the Science corpus: 13 papers; trusts 487 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Jacob Menick trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Alex Graves
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Yann LeCun
  8. Kaiming He
  9. J. Urgen Schmidhuber
  10. Karen Simonyan

Who trusts Jacob Menick overall

  1. Jing Yu Koh
  2. Matthew Riemer
  3. Sander Dieleman
  4. Hyojin Bahng
  5. Aäron van den Oord
  6. Antoine Yang
  7. Ruslan Salakhutdinov
  8. Junnan Li
  9. Zhengyuan Yang
  10. Junyi Li

Papers from Jacob Menick's perspective

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

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

Their papers