Sumit Kumar

Artificial Intelligence · with Pranesh · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sumit Kumar trusts overall

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

  1. Diederik P. Kingma
  2. Jeffrey Pennington
  3. Jimmy Ba
  4. Geoffrey E. Hinton
  5. Richard Socher
  6. Yoshua Bengio
  7. Yann LeCun
  8. Christopher D. Manning
  9. Alex Graves
  10. Vinod Nair

Who trusts Sumit Kumar overall

  1. Tianhao Shen
  2. Renren Jin

Papers from Sumit Kumar's perspective

Ordered by how strongly the researchers Sumit Kumar trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers