Shubham Toshniwal

Artificial Intelligence · 2017–2023

A researcher in the Science corpus: 9 papers; trusts 142 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Shubham Toshniwal trusts overall

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

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

Who trusts Shubham Toshniwal overall

  1. Jinyu Li
  2. Albert Zeyer
  3. Kazuki Irie
  4. Grzegorz Chrupała
  5. Yonatan Belinkov
  6. Hirofumi Inaguma
  7. Hermann Ney
  8. Tara N. Sainath
  9. Matthew Wiesner
  10. Antonios Anastasopoulos

Papers from Shubham Toshniwal's perspective

Ordered by how strongly the researchers Shubham Toshniwal 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers