Rishabh Kabra

Artificial Intelligence · 2019–2024

A researcher in the Science corpus: 4 papers; trusts 52 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Rishabh Kabra trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. J. Urgen Schmidhuber
  5. Alex Krizhevsky
  6. Kaiming He
  7. Jimmy Ba
  8. Ronald J. Williams
  9. Alex Graves
  10. Yann LeCun

Who trusts Rishabh Kabra overall

  1. Sjoerd van Steenkiste
  2. Aleksandar Stani'c
  3. J. Urgen Schmidhuber
  4. Thomas Kipf
  5. Adam R. Kosiorek
  6. Klaus Greff
  7. Jindong Jiang
  8. Francesco Locatello
  9. Chang Chen
  10. Yanchao Yang

Papers from Rishabh Kabra's perspective

Ordered by how strongly the researchers Rishabh Kabra 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers