Dylan P. Losey

Reinforcement Learning · 2017–2021

A researcher in the Science corpus: 8 papers; trusts 52 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Dylan P. Losey trusts overall

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

  1. Carl Doersch
  2. Brenna D. Argall
  3. Anca Dragan
  4. Siddhartha S. Srinivasa
  5. Andrew Y. Ng
  6. Shervin Javdani
  7. Diederik P. Kingma
  8. Tom Carlson
  9. Geoffrey E. Hinton
  10. Pieter Abbeel

Who trusts Dylan P. Losey overall

  1. Siddharth Karamcheti
  2. Dorsa Sadigh
  3. Megha Srivastava
  4. Hong Jun Jeon
  5. Percy Liang
  6. Mengxi Li
  7. Andreea Bobu
  8. A. Zhai
  9. Harish Chaandar Ravichandar
  10. Anca Dragan

Papers from Dylan P. Losey's perspective

Ordered by how strongly the researchers Dylan P. Losey 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. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. GENERATIVE ADVERSARIAL NETS
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers