Connor Schenck

Computer Vision and Pattern Recognition · 2014–2017

A researcher in the Science corpus: 3 papers; trusts 92 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Connor Schenck trusts overall

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

  1. Evan Shelhamer
  2. Radu Bogdan Rusu
  3. Diederik P. Kingma
  4. Robert Bridson
  5. Damien Violeau
  6. Sepp Hochreiter
  7. Jonathan Long
  8. Steve B. Cousins
  9. Cha Zhang
  10. Mazen Alamir

Who trusts Connor Schenck overall

  1. Abhishek Gupta
  2. Jesse Thomason
  3. Pieter Abbeel
  4. Sergey Levine
  5. Avi Singh
  6. Jivko Sinapov
  7. Laura M. Smith
  8. Suraj Nair
  9. Chelsea Finn
  10. Kimin Lee

Papers from Connor Schenck's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  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