Rishab Goel

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 5 papers; trusts 164 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rishab Goel trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Ilya Sutskever
  6. Yann LeCun
  7. Kaiming He
  8. Tomas Mikolov
  9. Jimmy Ba
  10. Sepp Hochreiter

Who trusts Rishab Goel overall

  1. Seyed Mehran Kazemi
  2. Joakim Skarding
  3. Woojeong Jin
  4. Timothée Lacroix
  5. Shaoxiong Ji
  6. Cunchao Zhu
  7. K. Liang
  8. Emanuele Rossi
  9. Bogdan Gabrys
  10. Guillaume Obozinski

Papers from Rishab Goel's perspective

Ordered by how strongly the researchers Rishab Goel 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  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