Piotr Sobecki

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Piotr Sobecki trusts overall

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

  1. Richard Socher
  2. Jeffrey Pennington
  3. Ryan Kiros
  4. Yukun Zhu
  5. Geoffrey E. Hinton
  6. Christopher D. Manning
  7. Ruslan Salakhutdinov
  8. Frane Saric
  9. Yoshua Bengio
  10. Steven Bethard

Papers from Piotr Sobecki's perspective

Ordered by how strongly the researchers Piotr Sobecki 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. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. GloVe: Global Vectors for Word Representation
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers