Rohit Bhattacharya

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rohit Bhattacharya trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Dzmitry Bahdanau
  4. Kyunghyun Cho
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. Ilya Sutskever
  8. Aäron van den Oord
  9. Nitish Srivastava
  10. Sergey Levine

Papers from Rohit Bhattacharya's perspective

Ordered by how strongly the researchers Rohit Bhattacharya 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers