Eugene Vinitsky

Reinforcement Learning · 2017–2021

A researcher in the Science corpus: 6 papers; trusts 87 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Eugene Vinitsky trusts overall

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

  1. John Schulman
  2. Richard S. Sutton
  3. Pieter Abbeel
  4. Sergey Levine
  5. Geoffrey E. Hinton
  6. Diederik P. Kingma
  7. Yoshua Bengio
  8. Alex Krizhevsky
  9. Ilya Sutskever
  10. Yan Duan

Who trusts Eugene Vinitsky overall

  1. Karthik Narasimhan
  2. Alexander Pan
  3. Cathy Wu
  4. Kush Bhatia

Papers from Eugene Vinitsky's perspective

Ordered by how strongly the researchers Eugene Vinitsky 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. 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. Reinforcement Learning: An Introduction
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers