Ashutosh Kumar

Artificial Intelligence · with Wang · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Ashutosh Kumar trusts overall

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

  1. Diederik P. Kingma
  2. Sepp Hochreiter
  3. Yoshua Bengio
  4. Dzmitry Bahdanau
  5. Geoffrey E. Hinton
  6. Ilya Sutskever
  7. Jimmy Ba
  8. J. Urgen Schmidhuber
  9. Kyunghyun Cho
  10. Alex Krizhevsky

Who trusts Ashutosh Kumar overall

  1. Jianing Zhou
  2. Jiaao Chen
  3. Peter West
  4. Yanru Qu
  5. Steven Y. Feng
  6. Ateret Anaby-Tavor
  7. Suma Bhat
  8. Derek Tam

Papers from Ashutosh Kumar's perspective

Ordered by how strongly the researchers Ashutosh Kumar 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers