Jakub W. Pachocki

Artificial Intelligence · 2016–2025

A researcher in the Science corpus: 10 papers; trusts 32 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Jakub W. Pachocki trusts overall

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

  1. Diederik P. Kingma
  2. Ronald J. Williams
  3. John Schulman
  4. Geoffrey E. Hinton
  5. David Silver
  6. R. Caruana
  7. Volodymyr Mnih
  8. Richard S. Sutton
  9. Jimmy Ba
  10. Yoshua Bengio

Who trusts Jakub W. Pachocki overall

  1. Joel Z. Leibo
  2. Pablo Hernandez-Leal
  3. Christos Kaplanis
  4. Jihong Park
  5. Fengda Zhu

Papers from Jakub W. Pachocki's perspective

Ordered by how strongly the researchers Jakub W. Pachocki 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. GENERATIVE ADVERSARIAL NETS
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers