Liat Kaver

Computer Vision and Pattern Recognition · 2018–2019

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

Subfields

Whom Liat Kaver trusts overall

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

  1. J. Fleiss

Papers from Liat Kaver's perspective

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

  1. Curriculum learning
  2. ImageNet classification with deep convolutional neural networks
  3. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  4. End-to-End Training of Deep Visuomotor Policies
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
  9. Automated Curriculum Learning for Neural Networks
  10. Long Short-Term Memory

Their papers