N. Siddharth

Artificial Intelligence · 2016–2022

A researcher in the Science corpus: 7 papers; trusts 278 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom N. Siddharth trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Ruslan Salakhutdinov
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Ilya Sutskever
  8. J. Urgen Schmidhuber
  9. Radford M. Neal
  10. Kaiming He

Who trusts N. Siddharth overall

  1. Riccardo Guidotti
  2. Fei Ye
  3. Yuge Shi

Papers from N. Siddharth's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers