TB Dhruva

Reinforcement Learning · 2017–2018

A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom TB Dhruva trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. E. Todorov
  4. Ronald J. Williams
  5. Sergey Levine
  6. John Schulman
  7. Richard S. Sutton
  8. Volodymyr Mnih
  9. Yoshua Bengio
  10. Kaiming He

Who trusts TB Dhruva overall

  1. Josh Merel
  2. Xue Bin Peng
  3. Jiahui Yu
  4. Shansi Zhang
  5. Sergey Levine
  6. Yuxi Li
  7. Ofir Nachum
  8. Tingwu Wang
  9. Yuval Tassa
  10. Faraz Torabi

Papers from TB Dhruva's perspective

Ordered by how strongly the researchers TB Dhruva 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. GENERATIVE ADVERSARIAL NETS
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers