Rachel Holladay

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Rachel Holladay trusts overall

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

  1. Rosen Diankov
  2. R´emi Munos
  3. Nils J. Nilsson
  4. Steven M. LaValle

Who trusts Rachel Holladay overall

  1. Dylan P. Losey
  2. Siddharth Karamcheti
  3. Shervin Javdani

Papers from Rachel Holladay's perspective

Ordered by how strongly the researchers Rachel Holladay 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: A large-scale hierarchical image database
  3. Planning algorithms
  4. Fully convolutional networks for semantic segmentation
  5. Mastering the game of Go with deep neural networks and tree search
  6. Spatial Transformer Networks
  7. Siamese Neural Networks for One-Shot Image Recognition
  8. Path planning using lazy PRM (Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065))
  9. Randomized Kinodynamic Planning
  10. Robotic Grasping of Novel Objects using Vision

Their papers