Vincent Andrearczyk

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Vincent Andrearczyk trusts overall

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

  1. Kaiming He
  2. Pang Wei Koh
  3. Grgoire Montavon
  4. Robert Martin Haralick
  5. Geoffrey E. Hinton
  6. X. Zhang
  7. Alex Krizhevsky
  8. Yoshua Bengio
  9. Ilya Sutskever
  10. Shaoqing Ren

Who trusts Vincent Andrearczyk overall

  1. Erico Tjoa
  2. Amitojdeep Singh
  3. Pang Wei Koh

Papers from Vincent Andrearczyk's perspective

Ordered by how strongly the researchers Vincent Andrearczyk 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers