Ekaterina Komendantskaya

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ekaterina Komendantskaya trusts overall

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

  1. Xiaowei Huang
  2. Diederik P. Kingma

Papers from Ekaterina Komendantskaya's perspective

Ordered by how strongly the researchers Ekaterina Komendantskaya trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Intriguing properties of neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Explaining and Harnessing Adversarial Examples
  5. ImageNet classification with deep convolutional neural networks
  6. Gradient-based learning applied to document recognition
  7. Towards Deep Learning Models Resistant to Adversarial Attacks
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Long Short-Term Memory

Their papers