Ben Adcock

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ben Adcock trusts overall

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

  1. Diederik P. Kingma
  2. Gitta Kutyniok
  3. Karen Simonyan

Papers from Ben Adcock's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Intriguing properties of neural networks
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Long Short-Term Memory

Their papers