Neeraj Kumar

Artificial Intelligence · with Goel · 2021

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Neeraj Kumar trusts overall

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

  1. Jimmy Ba
  2. Geoffrey E. Hinton
  3. Dan Hendrycks
  4. Diederik P. Kingma
  5. Wei-Chung Chu
  6. Yoshua Bengio
  7. Ashish Vaswani
  8. Alex Krizhevsky
  9. Christophe Veaux
  10. Ilya Sutskever

Papers from Neeraj Kumar's perspective

Ordered by how strongly the researchers Neeraj Kumar 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers