Viktor Losing

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Viktor Losing trusts overall

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

  1. L. Eon Bottou
  2. Chih-Jen Lin
  3. David Hilton Wolpert
  4. Niko Speybroeck
  5. Harry Zhang
  6. Yoav Freund
  7. Gregory Ditzler
  8. Geoffrey E. Hinton
  9. João Gama
  10. Tong Zhang

Who trusts Viktor Losing overall

  1. Marc Masana
  2. Hyun-woo Koh
  3. Sihang Dang
  4. Fannia Pacheco
  5. Tinne Tuytelaars
  6. Jung-Woo Ha
  7. Zongjie Cao
  8. Ernesto Exposito

Papers from Viktor Losing's perspective

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

Their papers