Michal Kosinski

Artificial Intelligence · 2011–2023

A researcher in the Science corpus: 17 papers; trusts 95 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom Michal Kosinski trusts overall

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

  1. Heinz Wimmer
  2. Alec Radford
  3. Josef Perner
  4. L. R. Goldberg
  5. J. Raven
  6. D. Kidd
  7. Andre Esteva
  8. Rebecca Saxe
  9. Jennifer Golbeck
  10. K. Milligan

Who trusts Michal Kosinski overall

  1. Thilo Hagendorff
  2. Jinyuan Jia
  3. Neil Zhenqiang Gong
  4. Danny Azucar
  5. Jessica Clark
  6. Jun Pang
  7. Sandra C. Matz
  8. Gokul Yenduri
  9. Tomer D. Ullman
  10. Stephan Lewandowsky

Papers from Michal Kosinski's perspective

Ordered by how strongly the researchers Michal Kosinski 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers