Jakub Grudzien Kuba

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jakub Grudzien Kuba trusts overall

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

  1. Richard S. Sutton
  2. Diederik P. Kingma
  3. John Schulman
  4. Geoffrey E. Hinton
  5. Christian Schröder de Witt
  6. Jimmy Ba
  7. Sergey Levine
  8. Kaiming He
  9. Yoshua Bengio
  10. Pieter Abbeel

Who trusts Jakub Grudzien Kuba overall

  1. Wenhao Li
  2. Muning Wen
  3. Shangding Gu

Papers from Jakub Grudzien Kuba's perspective

Ordered by how strongly the researchers Jakub Grudzien Kuba 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  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