Jan Humplik

Artificial Intelligence · 2019–2025

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jan Humplik trusts overall

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

  1. Geoffrey E. Hinton
  2. Ronald J. Williams
  3. Stefan Schaal
  4. Richard S. Sutton
  5. Yoshua Bengio
  6. Jimmy Ba
  7. Diederik P. Kingma
  8. John Schulman
  9. Sergey Levine
  10. Pieter Abbeel

Who trusts Jan Humplik overall

  1. Ron Dorfman
  2. Emilio Parisotto
  3. Aviv Tamar
  4. Eric Mitchell
  5. Ruslan Salakhutdinov
  6. Idan Shenfeld

Papers from Jan Humplik's perspective

Ordered by how strongly the researchers Jan Humplik 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers