Joey Huchette

Artificial Intelligence · 2015–2022

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Joey Huchette trusts overall

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

  1. Johan Efberg
  2. Diederik P. Kingma
  3. Uwe Naumann
  4. Message Passing Interface Forum
  5. Joel A. E. Andersson
  6. Diomidis D. Spinellis
  7. Jeff Bezanson
  8. Yann LeCun
  9. Yoshua Bengio
  10. J. Kolter

Who trusts Joey Huchette overall

  1. Brendan O'Donoghue
  2. Xuezhou Zhang
  3. Miles Lubin
  4. Adam N. Elmachtoub
  5. Dragos Florin Ciocan
  6. Vincent Tjeng
  7. Laurent Lessard
  8. Xiaojing Zhang
  9. Jarrett Revels
  10. Xiaojin Zhu

Papers from Joey Huchette's perspective

Ordered by how strongly the researchers Joey Huchette 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers