Anastasia Varava

Control and Systems Engineering · 2021

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Anastasia Varava trusts overall

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

  1. John Schulman
  2. Igor Mordatch
  3. Jan Matas
  4. Pieter Abbeel
  5. Yunzhu Li
  6. Zackory Erickson
  7. E. Todorov

Papers from Anastasia Varava's perspective

Ordered by how strongly the researchers Anastasia Varava 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. GENERATIVE ADVERSARIAL NETS
  10. Going deeper with convolutions

Their papers