Aja Huang

Artificial Intelligence · 2014–2022

A researcher in the Science corpus: 5 papers; trusts 8 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

Whom Aja Huang trusts overall

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

  1. Rémi Coulom
  2. Richard S. Sutton
  3. Levente Kocsis
  4. David Silver
  5. G. Tesauro
  6. Ronald J. Williams
  7. Sylvain Gelly
  8. Arthur L. Samuel
  9. N. Schraudolph
  10. Geoffrey E. Hinton

Who trusts Aja Huang overall

  1. Yuxi Li
  2. Yuandong Tian
  3. Sergey Levine
  4. Yoshua Bengio
  5. David Silver
  6. Zachary Chase Lipton
  7. Jianfeng Gao
  8. Pieter Abbeel
  9. Oriol Vinyals
  10. Marwin H. S. Segler

Papers from Aja Huang's perspective

Ordered by how strongly the researchers Aja Huang 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. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Going deeper with convolutions
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers