Aniket Rajiv Didolkar

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 5 papers; trusts 61 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Aniket Rajiv Didolkar trusts overall

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

  1. Yoshua Bengio
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yann LeCun
  6. Ilya Sutskever
  7. J. Urgen Schmidhuber
  8. Alex Graves
  9. Anirudh Goyal
  10. Richard S. Sutton

Who trusts Aniket Rajiv Didolkar overall

  1. Anirudh Goyal
  2. Jorge Armando Mendez Mendez

Papers from Aniket Rajiv Didolkar's perspective

Ordered by how strongly the researchers Aniket Rajiv Didolkar 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers