Aaron Gokaslan

Computer Vision and Pattern Recognition · with Batra · 2019–2021

A researcher in the Science corpus: 5 papers; trusts 108 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Aaron Gokaslan trusts overall

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

  1. Kaiming He
  2. Sepp Hochreiter
  3. Geoffrey E. Hinton
  4. J. Urgen Schmidhuber
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. Peter Anderson
  8. Yoshua Bengio
  9. Manolis Savva
  10. Yann LeCun

Who trusts Aaron Gokaslan overall

  1. Arjun Majumdar
  2. Naoki Yokoyama
  3. Dhruv Batra
  4. Santhosh K. Ramakrishnan
  5. S. Gadre
  6. Matt Deitke
  7. Xin Ye
  8. Jiafei Duan

Papers from Aaron Gokaslan's perspective

Ordered by how strongly the researchers Aaron Gokaslan 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. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers