Rafal Salustowicz

Optimization & Training · 1997

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rafal Salustowicz trusts overall

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

  1. John R. Koza
  2. J. Urgen Schmidhuber
  3. Marco A. Wiering
  4. Jian Zhao
  5. Sepp Hochreiter
  6. urgen Schmidhuber
  7. Michael L. Littman
  8. Geoffrey E. Hinton
  9. Paul J. Werbos
  10. Longxin Lin

Who trusts Rafal Salustowicz overall

  1. Martin Pelikan
  2. Maarten Keijzer
  3. Mark Hauschild
  4. David E. Goldberg
  5. Riccardo Poli
  6. Yuehui Chen
  7. Nguyen Quang Uy
  8. J. Urgen Schmidhuber
  9. Fernando Graça Lobo
  10. William B. Langdon

Papers from Rafal Salustowicz's perspective

Ordered by how strongly the researchers Rafal Salustowicz 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. 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. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. GENERATIVE ADVERSARIAL NETS

Their papers