Jaakko Peltonen

Representation & Self-Supervised Learning · 2010–2018

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Jaakko Peltonen trusts overall

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

  1. Sam T. Roweis
  2. Geoffrey E. Hinton
  3. Mikhail Belkin
  4. Kilian Q. Weinberger
  5. Lawrence K. Saul
  6. Joseph B. Kruskal
  7. John C. Gower
  8. David L. Donoho
  9. L. V. D. van der Maaten
  10. Partha Niyogi

Who trusts Jaakko Peltonen overall

  1. John Aldo Lee
  2. Leland McInnes
  3. L. V. D. van der Maaten
  4. Daniel Jiwoong Im
  5. Yan Huang

Papers from Jaakko Peltonen's perspective

Ordered by how strongly the researchers Jaakko Peltonen 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers