Abhishek Kumar

Artificial Intelligence · with Akhtar · 2017

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 Abhishek Kumar trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alex Smola
  5. Xavier Glorot
  6. Alex Krizhevsky
  7. Pascal Vincent
  8. Jimmy Ba
  9. Ilya Sutskever
  10. Nitish Srivastava

Who trusts Abhishek Kumar overall

  1. A. Ozbayoglu

Papers from Abhishek Kumar's perspective

Ordered by how strongly the researchers Abhishek 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. Long Short-Term Memory
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Dropout: a simple way to prevent neural networks from overfitting
  10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers